Management Letters / Cuadernos de Gestión 22/1 (2022) 143-159
Management Letters
Cuadernos de Gestión
Volume 21 / Number 2 (2021) • ISSN: 1131-6837 / e-ISSN: 1988-2157
http://www.ehu.eus/cuadernosdegestion/revista/es/
Management Letters / Cuadernos de Gestión
journal homepage: http://www.ehu.eus/cuadernosdegestion/revista/es/
enpresa
ISSN: 1131-6837 / e-ISSN: 1988-2157
institutua
Enpresa Institutua, UPV/EHU
Conocimiento en Gestión/Management Knowledge
Instituto de Economía Aplicada a la Empresa
The “secret life” of the Statement of Cash Flow: A bibliometric analysis
La “vida secreta” del Estado de Flujo de Efectivo: un análisis bibliométrico
Salvador de Andrés Fazioa, Elena Urquía Grandeb, Raquel Pérez Estébanez*
a
Campus de Somosaguas. Facultad de Ciencias Económicas y Empresariales. Universidad Complutense de Madrid. Carretera de Húmera s/n, Pozuelo de Alarcón, Madrid
28223. Spain. – salvaand@ucm.es – ORCID: NA
b
Campus de Somosaguas. Facultad de Ciencias Económicas y Empresariales. Universidad Complutense de Madrid. Carretera de Húmera s/n, Pozuelo de Alarcón, Madrid
28223. Spain. – eurquiag@ucm.es – https://orcid.org/0000-0003-4724-7185
* Corresponding author: Campus de Somosaguas. Facultad de Ciencias Económicas y Empresariales. Universidad Complutense de Madrid. Carretera de Húmera s/n,
Pozuelo de Alarcón, Madrid 28223. Spain. – raperez@ucm.es – https://orcid.org/0000-0002-8203-5594
ARTICLE INFO
ABSTRACT
Received 26 April 2021,
Accepted 13 December 2021
The International Financial Reporting Standard Foundation issued a new Conceptual Framework for Financial
Reporting. According to this document, the general purpose of financial reporting is to provide financial information about the reporting entity which is useful to existing and potential investors, lenders and other creditors
in making decisions related to raise resources for the entity. Focused on the Statement of Cash Flow analysis the
main objective of this paper is to provide an overview about how academic researchers have evolved about the
usefulness of this Statement. Firstly, we sought to find the best database to perform a bibliometric analysis on the
sample identified about the Statement of Cash Flow research. Secondly, we analysed the different stages of the
research trends and the main topics. As interesting results of the analysis we can highlight that the clusters in the
bibliographic network match with the research lines identified and connections between the papers have been
increasing further through networks. The research lines mentioned by the accounting regulators, who issued the
cash flow standards, have mostly concluded that the Statement of Cash Flow is useful to fulfill those purposes
together with the researchers.
Available online 10 February 2022
DOI: 10.5295/cdg.211481rp
JEL: M41, C89
Keywords: Statement of Cash Flow (SCF), Bibliometric Analysis, Direct Method (DM), Non-Articulation.
RESUMEN
La Fundación Internacional de Normas de Información Financiera emitió un nuevo Marco Conceptual para la
Información Financiera. Según este documento, el objetivo general de la información financiera es proporcionar
información financiera sobre la entidad informante que sea útil para los inversores existentes y potenciales, los
prestamistas y otros acreedores en la toma de decisiones relacionadas con la obtención de recursos para la entidad.
Centrado en el análisis del Estado de Flujo de Efectivo, el objetivo principal de este trabajo es proporcionar una
visión general sobre la evolución de los investigadores académicos acerca de la utilidad de este estado financiero.
En primer lugar, se buscó la mejor base de datos para realizar un análisis bibliométrico sobre la muestra identificada respecto a la investigación del Estado de Flujo de Efectivo. En segundo lugar, se analizaron las diferentes etapas
de las tendencias de investigación y los principales temas sobre el tema. Como resultados interesantes del análisis
se destaca que los clusters de la red bibliográfica coinciden con las líneas de investigación identificadas y que las
conexiones entre los trabajos han ido aumentando. Las líneas de investigación mencionadas por los reguladores
contables, que emitieron las normas de flujo de caja, han concluido en su mayoría que el Estado de Flujo de Efectivo es útil para cumplir esos propósitos.
Palabras clave: Estado de Flujo de Efectivo (EFE); Análisis Bibliométrico; Método Directo (MD); No Articulación.
This article is distributed under the terms of the
Creative Commons Atribution 4.0 Internacional License
144
Salvador de Andrés Fazio, Elena Urquía Grande, Raquel Pérez Estébanez
1. INTRODUCTION
In November 1987, the FASB issued the Statement of Financial Accounting Standard 95 (SFAS 95), titled the Statement
of Cash Flow. SFAS 95 establishes standards for cash flow reporting and requires a SCF as a part of the financial statements
for all business enterprises in place of a statement of changes
position. Currently, in March 2018 the International Financial
Reporting Standard Foundation (IFRSF) issued a new Conceptual Framework for Financial Reporting. According to this
document, the objective of general purpose financial reporting
is to provide financial information about the reporting entity
that is useful to existing and potential investors, lenders and
other creditors in making decisions relating to providing resources to the entity.
If financial information is to be useful, it must be relevant
and faithfully representative what it purports to represent. The
usefulness of financial information is enhanced if it is comparable, verifiable, timely and understandable.
According to cash flow standards issued by the accounting
regulators, the benefits of the SCF when is used together with the
rest of the financial statements are the following. Firstly, asses the
enterprise’s ability to generate future cash-flows. Secondly, check
the enterprise’s ability to meet the financial obligations (liquidity
and solvency), to pay dividends, and its needs for external financing. Thirdly, examine the relationship between profitability
and net cash flow. The fourth benefit is the increase in comparability because this statement eliminates the effect of using different accounting treatments for the same transactions and events.
Finally, another benefit is the possibility to check the accuracy of
past assessments of future cash flows. Additionally, it is important to highlight that both standards encourage calculating SCF
using Direct Method (DM) but allow the use of Indirect Method
(IM). DM provides information which may be useful in estimating future cash flows and which is not available under IM.
The aim of this paper is to provide an analysis about how the
academic researchers have evolved about the usefulness of the
Statement of Cash Flow (SCF). To identify what is the usefulness
of SCF and how this statement has to be calculated, we have analyzed the benefits mentioned by the Financial Accounting Standards Board (FASB) and the IFRSF.
We have done a bibliometric analysis that is the use of statistical methods to examine books, articles and other publications
to conduct this research work. Bibliometric and scientometric
methods have multiple and varied application realms that go
from information science, sociology and history of science to
research evaluation and scientific policy. Many research fields
use bibliometric methods to explore the impact of their field, the
impact of a set of researchers, the impact of a particular paper,
or to identify particularly impactful papers within a specific field
of research. In this paper we use bibliometric analysis to study
several stages of Cash Flow (CF) with more deepness than other
bibliographic reviews. Bibliometric analysis will allow detecting
the most influential researchers in this area since 1989. So, firstly, we have looked for the best database to perform a bibliometric analysis on the sample identified; secondly, we have studied
which are the research trends about SCF which will be divided
in stages classified out of the research trend of cites analysed in
the databases; and finally, we have studied the different stages of
research trends and the main topics about SCF.
Other bibliometric studies do not address the question of the
comparability and stability of statistics obtained from different
data source. Many researchers collected the data directly from
Social Science Citation Index (SSCI) without providing any explanation or mention that they have applied the same search criteria as in Scopus, obtaining results very similar to SSCI. There
are studies which conclude that SSCI performs lower in the area
of management administration (Mingers & Lipitakis, 2010) or
that Scopus has a greater coverage in terms of journals (Santa &
Herrero-Solana, 2010). Therefore, with the emergence of Scopus
comes the need to identify which of the two databases perform
higher in each area of research knowledge (Sánchez, de la Cruz
& García, 2017). Thus, our research questions defined are:
RQ1: Which is the best database to perform a bibliometric
analysis on Statement of Cash Flow?
RQ2: Which are the main stages of the research trends about
SFC?
In this research work we have demonstrated that the best
database to analyse the state of art about the usefulness of SCF
is Scopus. We applied bibliometric techniques, identifying five
stages linked with how the research lines have evolved and the
interest of the researchers due to the economic circumstances
around these periods. The clusters we have obtained in the bibliographic network match with the research lines identified and
we showed through the networks how the connections between
the papers have been increasing.
2. METHODOLOGY
To analyze how research has evolved about the benefits of
SCF, we used bibliometric techniques with the most appropriate database to perform this analysis, identifying the papers with
linked with this topic.
There are three accredited databases: Web of Science (Wos)
published by Thomson Reuters, Scopus by Elsevier and Google
Scholar. Due that only the two first databases perform quality review processes to index the journals, we have decided to analyse
our research comparing these two databases. Social Science Citation Index (SSCI), accessible online through Thomson Reuters
WoS, was the major source of bibliometric data until 2004 when
Scopus was launched. The validity of bibliometric analyses for
research evaluation lies in large part in the databases’ representativeness of the scientific activity studied. One of the main issues
with citation indexes like WoS and Scopus is that their coverage
mainly focuses on journals and less on other means of scientific
knowledge diffusion (e.g., books, proceedings, and reports). A
second important issue is the language coverage of citation databases, currently mostly in English. To perform a research about
a topic, these two databases raise the question of comparability
and stability obtained from these data sources. For those who
perform bibliometric analysis, the existence of these two databases raises the important question of the comparability and stability of statistics obtained from different data sources (Archambault, Campbell, Gingras & Larivière, 2009).
Management Letters / Cuadernos de Gestión 22/1 (2022) 143-159
The “secret life” of the Statement of Cash Flow: A bibliometric analysis
We included the terms “cash flow*” or “cash-flow*” in their
search bars and obtained 5.429 documents for WoS and 12.930
for Scopus. The number of false positives was high. For this reason, we decided to build a search equation to find a more accurate result. In the title search option, we included the terms “cash
flow*” or “cash-flow*”, and in the topic search option for WOS
and abstract search option for Scopus, we used as keywords the
main benefits mentioned by SFAS 95 and IAS 7 (see Table 1), and
the two methods to calculate a SCF. We also included the word
“ratio” because the majority of the financial analyses are done
using ratios. In Table 1 we show that all the keywords used in
our search equation linked with the selected criteria. The results
of this search equation were 492 documents for WoS and 1.104
for Scopus.
Table 1
Key words used linked with the selected criteria
Search criteria
Key words
To generate positive future net cash flows
“predict*”
“estimat*”
“forecast*”
To analyse the financial position
“*solven*”
“bankrupt*”
“distress”
“failure”
“liquid*”
“constrain*”
To enhance comparability
“compara*”
To check the relationship between profitability
and net cash flow
“profit*”
“earn*”
“fraud”
“manipulation”
Methods to calculate a SCF
“direct method”
“indirect method”
Financial analysis
“ratio*”
Organizations and Accounting Standards
“FASB”
“SFAS”
“IFRS”
“IAS”
Source: own elaboration.
We refined the search to articles written in English included
in the following subgroups: “Business Finance”, “Economics” or
“Business” in WoS and “Business”, “Management and Accounting” or “Economics” in Scopus. This yielded 381 papers in WoS
and 671 in Scopus. However, some papers use these terms without referring the benefits of the SCF, so we made a detailed analysis of all papers in two independent rounds of review, deleting
many articles that had no relationship with the usefulness of the
CF as financial information. Therefore, the final sample was a
total of 59 articles for WoS and 145 for Scopus.
To analyse the comparability and stability of the data we applied two techniques: the Traditional Overlap (TO) defined as
the ratio of the number of journal titles or articles in the intersection of two sources to the number in their union (Gluck, 1990);
145
and the other technique calculates the percentage of unique documents in each database.
To identify the stages of research trend and the main topic studied about the SCF, we applied two bibliometric methods.
Firstly, a Bibliographic Coupling which uses the number of
references shared by two papers as a measure of the similarity
between them. Meaning that, the more bibliographies of two
articles overlap, the stronger their connection. Bibliographic
coupling relates the citing papers of a dataset to each other on
the basis of their shared references, therefore if two papers are
more related or similar the more cited references they share.
Since this technique focuses on citing papers, it deals with the
research front, that is, the state-of-the-art of a scientific field
(Kovács et al., 1995).
Secondly, a co-word analysis which is a content analysis
technique that uses the words in documents to establish a relationship and build a conceptual structure of the domain studied. Usually, the output of co-word analysis is a network which
represents the conceptual space of a field. We have applied a
co-word analysis on the keywords identified in each paper. Coword analysis finds connections among concepts that co-occur
in document titles, keywords or abstracts. The hint underlying
the method is that, when words frequently co-occur in documents, it means that the concepts behind those words are closely
related. It is the only method that uses the content of the documents to construct a similarity measure, while others connect
documents indirectly through citations or co-authorships. The
output of co-word analysis is a network of themes and their relations represent the conceptual space of a field. This semantic
map helps to understand its cognitive structure (Börner et al.,
2003). A series of such maps produced for different time periods can trace the changes in this conceptual space (Coulter et al.,
1998). The unit of analysis is a concept, not a document, author
or journal. However using abstracts or full texts introduces noise
into the data as the algorithms have difficulty distinguishing the
importance of words in large corpuses of text. Thus, we will use
other techniques.
There is another common third bibliometric technique, the
Co-citation analysis, however we have not applied it because
does not allow mapping research fronts. Therefore, bibliographic
coupling approach is better than co-citation analysis to identify
research fronts (Boyack & Klavans, 2010; Zupic & Carter, 2014).
Finally, we used Vosviewer (VOS) to facilitate the bibliometric analysis of scientific literature. This tool is software for creating maps based on network data and for visualizing and exploring maps which is intended primarily for analyzing bibliometric
networks (Van Eck & Waltaman, 2010).
To normalize the relation among the research, we applied the
association strength measure which determines the relatedness
between a pair of main papers by normalizing the co-occurrence
frequency of the references they make in the case of bibliographic coupling. Considering that the association strength is a probabilistic measure, it is the best technique to apply in bibliometric
research (Van Eck & Waltman, 2009). Furthermore, we applied
a normalization of citations to show the size of the papers in the
networks. This normalization corrects the fact that older documents have had more time to receive citations than more recent
papers.
Management Letters / Cuadernos de Gestión 22/1 (2022) 143-159
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Salvador de Andrés Fazio, Elena Urquía Grande, Raquel Pérez Estébanez
has grown exponentially in Scopus due to a larger number of
indexed journals that this database has included.
160
140
120
100
80
60
40
20
0
19
86
19
88
19
90
19
92
19
94
19
96
19
98
20
00
20
02
20
04
20
06
20
08
20
10
20
12
20
14
20
16
20
18
To create the networks map we used the full counting method
which considers a publication co-authored assigning to each researcher a full weight of one. Additionally, in the maps we have only
portrayed papers that have been cited a minimum of three times.
This restriction is imposed in order to capture only the most important references and not to complicate the interpretation of the maps.
We have identified the clusters using the VOS clustering algorithm, which is based on a weighted version of Newman &
Girvans’s (2004) modularity function. This algorithm eliminates
edges in a network that have the highest betweenness until the
modularity function of Newman and Girvan is maximized. We
have considered the minimum cluster size of ten papers in order
to not to add more complexity in the interpretation analysis.
WoS
Scopus
3. RESULTS AND DISCUSSION
3.1. Appropriateness of the Database used (RQ1)
Due to the bibliometric method used to find which is the
best database to perform the analysis, answering the research
question 1, we show the cumulative evolution of the final sample
for the two databases (see Figure 1). As we can see, during the
first years (1986-1994), the numbers of articles found in WoS
are slightly higher. However, since then, the number of articles
Figure 1
Cumulative evolution of publications related with SCF benefits
Source: Own elaboration.
In Wos 25 journals and 59 articles were identified, compared
to 64 and 145 respectively of Scopus. The two databases analyzed provided 164 articles published in 68 journals. Of these,
124 (76%) are unique documents, collected in only one of the
databases.
Table 2
Main journals where papers have been published
Journal
Quartile
Nº Papers
Total Nº Papers
%
Q1
7
7
7
5
4
4
3
12
49
34%
Q2
5
5
4
4
3
3
10
34
23%
Managerial Finance
Journal of Applied Business Research
ABACUS
Advances in Accounting
Australian Accounting Review
Journal of Accounting, Auditing & Finance
Others
Q3
6
5
3
3
3
3
16
39
27%
Corporate Ownership & Control
Others
Q4
3
13
16
11%
European Journal of Economics, Finance and Administrative Sciences
Others
N/A
3
4
7
5%
Accounting and Business Research
Journal of Business Finance & Accounting
Review of Accounting Studies
Journal of Accounting and Public Policy
Journal of Accounting and Economics
The Accounting Review
Journal of Accounting Research
Others
Accounting and Finance
The International Journal of Accounting
Accounting Horizons
Management Research Review
European Accounting Review
Review of Quantitative Finance and Accounting
Others
Source: Own elaboration.
Management Letters / Cuadernos de Gestión 22/1 (2022) 143-159
The “secret life” of the Statement of Cash Flow: A bibliometric analysis
The percentage of traditional overlap (TO) for journals:
%TO = 100 *
(
)
│WoS ∩ Scopus│
│Wos ∩ Scopus│
is 39%. This result can be interpreted saying that between WoS
and Scopus there is a 39% similarity in relation to the search in
both databases. If we calculate the TO for articles, the result decreases to 24%.
Additionally, we have calculated the percentage of unique articles in each database. The results show a greater singularity of
Scopus 85% versus 15% WoS.
Based on the prior results, we have considered that the best
database to perform a bibliometric analysis to identify the stages
of research trends and the main topics studied is Scopus. Therefore, our paper is based on the articles that this database contains.
In Table 2 we have splitted the 145 papers down into the main
journals which have published the papers and their quartile according to SCImago Journal Rank in 2017 under the following categories: accounting, finance, business and management.
SCImago Journal Rank (SJR indicator) is a measure of scientific
influence of scholarly journals that accounts for both the number
of citations received by a journal and the importance or prestige
of the journals where such citations come from. A journal’s SJR is
a numeric value indicating the average number of weighted citations received during a selected year per document published in
that journal during the previous three years. Higher SJR values
are meant to indicate greater journal prestige.
Taking into account that the 57% of the Journals are in Q1
and Q2 quartiles, we can consider that this topic has a great relevance.
147
3.2. Stages of the research trends in SCF (RQ2)
Finally, to answer the research question 2 we analyzed the
different stages of research trends in the topic, dividing the sample into five periods according to the research lines arise or their
relevance due to different circumstances. Our results show that
in the Stage 1 (1989-1995), there is no core topic studied; the
authors try to check the benefits mentioned by the regulation
about SFC. In the Stage 2 (1996-2001), the relation between the
stock return and the SCF is the topic substantially more studied. Moreover, the articulation between the Balance Sheet and
the Profit and Loss Account with the SCF is questioned, emerging a research line to investigate the financial reporting fraud.
In Stage 3 (2002-2007), the gap between the papers which study
the relation of the SCF with the stock return with other topics
decreases, raising the interest to check the usefulness of SCF.
Stage 4 (2008-2013) is influenced by accounting scandals mainly
due to earning management. Therefore, the authors investigate
if SCF could help to detect a financial fraud and linked with this
research line they study about what calculation method provides
more accurate information. Finally, the Stage 5 (2014-2018) is
characterized by the study of the financial distress of companies
motivated by the last financial crisis.
A. Stage 1. (1989-1995). Emergence period
As we can see in Figure 2, in this first stage the number of
connections between papers is limited. There are only 6 connected papers in the 14 documents included in this stage. During
this first stage there is no a main topic studied. The objectives of
the authors try to check if the benefits mentioned by the regulation about SCF are real.
Figure 2
Network of the Stage 1
Source: Own elaboration.
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Salvador de Andrés Fazio, Elena Urquía Grande, Raquel Pérez Estébanez
However, Charitou & Ketz (1990; 1991) wrote two papers
collaboratively, starting to form a specific research line about the
relationship between stock prices and the SCF. However, neither
SFAS 95 nor IAS 7, mention directly as a benefit of the SCF the
link between the value relevance of the companies in the stock
market and the SFC. Nevertheless, according to the IFRS Conceptual Framework the accounting information has to be useful
for existing and potential investors. As we will see in the following stages, the relation between the share prices and SCF will be
the topic most studied. The conclusion of these two papers are
different, in the first article (1990) they conclude that operating
cash flows do not have valuation content beyond operating earnings but in the second (1991) they indicate that cash flows from
operating, financing and investing activities are associated with
security prices. In this third stage three of the five articles which
study this relation conclude that earnings are more strongly associated with stock returns.
On the contrary, most of the research about the usefulness of
the SCF to detect financial distress or estimate future cash flows
consider that cash flow information is valuable (Staubus, 1989;
Laitinen, 1994; Arnold et al., 1992; Percy & Stokes, 1992).
In this stage the debate about the usefulness of the cash flow
information has passed. Cash flow reports are widely accepted
as helpful to those concerned with financial distress of the companies or to understand the firm’s activity and management’s
policies (Staubus, 1989). However, there is still a debate about
which provide more useful information, if the earnings based
on the role of accounting accrual or cash flow information. At
the end of this stage, this debate decreases because researchers
demonstrate that both provide useful information and solve different issues.
Another discussion area is the final reporting fraud. Some
researchers support that cash flow accounting is not suitable because the opportunities for the manipulation of operating cash
flow are substantial. They consider that the opportunities to
control cash transaction with suppliers and customers are much
greater (Stabus, 1989). On the contrary, other researchers point
out that management has some discretion over the recognition
of accruals to manipulate earnings (Dechow, 1994; Schellenger
& Cross, 1994).
Due to the accounting regulation about the cash flow information was very recent in this stage; researchers think that they
can estimate the components of SCF reasonably from data reported in the balance sheet, the income statement and the statement of changes in financial position (Livnat & Zarowin, 1990).
Even in this stage, there are doubts about the usefulness of these
estimations because these adjustment mechanisms imply a certain degree of information redundancy (Mitchell et al., 1995).
Only three papers of this stage have used a sample with cash flow
information directly issued according to cash flow regulation. As
we will observe in the following stages, some researchers conclude that there is no articulation between the balance sheet and
the income statement and additionally, the DM provides better
information. Therefore, the conclusions of the papers that have
not used accounting information issued under the cash flow regulation should be questioned.
B. Stage 2. (1996-2001). Stock return relation and articulation
The number of connections is much more relevant than the prior stage. Figure 3 shows 36 connected papers in the 43 documents.
Figure 3
Network of the Stage 2
Source: Own elaboration.
Management Letters / Cuadernos de Gestión 22/1 (2022) 143-159
The “secret life” of the Statement of Cash Flow: A bibliometric analysis
During this stage the relation between SCF and stock returns
is the topic more studied. However, the usefulness of SCF to analyse share prices is not clear. Only twelve of the seventeen papers
support that SCF provides value-added to better understand the
share price evolution. One possible reason of this discrepancy is
because also during this stage most of the researches have estimated the SCF instead of taking the information issued according to the accounting regulation. Therefore, the underlying noise
of these estimations may impede to see the SCF utility (Cheng
et al., 1997). Fourteen of the thirty-one new papers included in
this stage have analysed a sample prior to SCF regulation and
thus they had to estimate the components of the SCF.
In this stage appears the most cited article of the total sample
(Sloan, 1996), this paper examines the nature of the information
contained in the accrual and cash flow components of earnings
and the extent to which this information is reflected in stock
prices. This author is also very well known as the first in analyzing the “accrual anomaly” in accounting research, in this paper
concludes that stock price evolution does not show the expected
result. The stock price results are inconsistent with the traditional efficient market view that stock prices fully reflect all publicly
available information. However, the finding that stock prices do
not fully reflect all publicly available information does not necessarily imply investor irrationality or the existence of unexploited
profit opportunities. The information acquisition costs and processing costs associated with implementing the strategy outlined
in the paper in real time are non-trivial.
Additionally, this paper starts to form a specific research line
about earning management and SCF usefulness to detect financial reporting fraud. Lee et al. (1999) confirm a significant relation between fraud and the difference between earnings and cash
flow. The difference between adjusted net income and operating
cash flow is large for fraud firms relative to nonfraud firms. Green
(1999) agrees with the UK accounting regulator notion that cash
flow disclosures attest to the quality of earnings. Givoly and Hayn
(2000) analysed the relation between earnings and cash flow to
detect reporting conservatism, finding that the decrease in the
reported profitability is not accompanied by a corresponding decline in cash flows. Another article, which does not find a relation between cash flow information and share prices, concludes
that the investors underestimate the persistence of cash flow and
overestimate the persistence of accruals and doubts about how
investors process accrual information, and their ability to undo
potential manipulation by management (Beaver & Mcnichols,
2001). Stewart and Sharma (2001) who take as sample Australian
companies to study financial reporting fraud, finds positive association with higher free cash flow and earnings management and
support the mandate to include a detailed disclosure of reconciliations between cash flows and earnings.
Although, there were two studies about the DM vs IM in
the prior stage, the most cited article about this topic appears
in this stage (Bahnson et al., 1996) they show that many balance
sheets and cash flows statements are not articulated in the sense
that changes in the current asset and liability account balances
presented on the former are often reported on the latter at significantly different amounts. Many SCF presents adjustment to
net income in the operating section that do not coincide with
the expectations. The non-articulation is a serious problem in
149
IM because its frequent presence obscures the meaning of the
adjustments to net income and this diminishes the usefulness
of the information, therefore they require the DM because this
produces many benefits for all parties involved. Kinnunen & Koskela (1999) also concludes that the reported cash flows do not
always articulate with income statements and balance sheets and
that non-articulation can be observed in cash flows from operating, investing and financing activities.
The non-articulation is a serious issue for those studies that
analysed the properties and usefulness of cash flow information derived from income statements and balance sheets. For
example, the second paper most cited in the sample develops a
model to calculate the operating cash flows through the formal
accounting process by which those cash flows are converted into
accounting earnings (Dechow et al., 1998). They conclude that
based in their model and tested in sample which starts in 1963
earnings better predict future operating cash flows than current
operating cash flows. This model involves articulation which has
been questioned for many studies.
In the first stage we analysed how research discussed about
which statement provides more useful information, if the earnings based on the role of the accounting accrual or the cash flow
information. However, in this stage some papers start to address
the research questions considering that information provides by
earnings together with cash flow is superior in conjunction rather
than taking only one source of information. Previous research has
concentrated on incremental rather than joint information provided by these measures (Ingram & Lee, 1997; Barth et al., 1999).
C. Stage 3. (2002 - 2007). Consolidation
As we can see in Figure 4 the links between papers continue
increasing. There are 52 connected papers in the 61 documents
contented. Although the relation between SCF and stock returns
is also the topic more studied where the controversy about the
usefulness of SCF still continues. As Sharma & Iselin (2003)
mentioned, most of the literature on cash flow versus accrual
information is market-based, focuses on “value-relevance” and
does not address the needs of other users such as creditors and
lenders. Therefore, in this stage studies about the usefulness of
the SCF to estimate future cash flows, estimate future earnings or
detect financial reporting fraud are also significant.
The most cited paper corresponds to a study about the usefulness of SCF to estimate future cash flows (Barth et al., 2002) which
concludes that current and past earnings explain more variations
in future cash flows than the current and past ones. Additionally,
as surprising, they found that long-term accruals, depreciation of
fixed asset and amortization of intangibles, have significant predictive ability for future cash flows. In our sample until this stage there
are other seven papers that study the role of SCF to estimate future
cash flow and only one, which also supports articulation, is contrary
to the relevance of SCF to estimate future cash flows. The authors
apply the same model to calculate operating cash flows based on
articulation developed by Dechow et al. (1998), therefore is reasonable that they get the same conclusion. Nikkinen & Sahlström (2004)
who apply a different model to empirically investigate the predictability of cash flows in different countries, conclude that the model
performs consistently across all the countries, except in Germany.
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Salvador de Andrés Fazio, Elena Urquía Grande, Raquel Pérez Estébanez
Figure 4
Network of the Stage 3
Source: Own elaboration.
The research line about earning management and SCF usefulness to detect financial reporting fraud continues in this
stage with five papers that study this topic. Al-Attar & Hussain
(2004) analyse the impact of the transitory component of earnings and the potential impact of earnings manipulation. Chung
et al. (2005), confirm the hypothesis of a positive relationship
between low-growth companies with high free cash flow and the
discretionary accruals. Pae (2005) concludes that incorporating
the association between accruals and operating cash flows and
the association between current and lagged accruals, one can design a more powerful test of earnings management. Wasley &
Wu (2006) find that management issues cash flow forecasts to
signal good news in cash flow, to meet investor demand for cash
flow information, and to recommit to a certain composition of
earnings in terms of cash flow versus accruals, thus reducing the
degree of freedom in earnings management.
In this stage there are four papers which conclude that cash
flow information is relevance to analyse the solvency of the companies. However, the finding of one of them concludes that contrary to their expectations, creditors did not efficiently use the
signals provided by operating cash flow in their assessments of
short and long-term creditworthiness. They exhibited the same
behaviors as investors, relying on the earnings sign as the key
predictor (Allen & Cote, 2005).
D. Stage 4. (2008-2013). Accounting scandals
The Figure 5 shows how the connections between articles continue growing. There are 88 connected papers in the 96 documents.
The relation between the SCF and stock returns is also the topic
more studied, however there is no significant contributions because
the authors repeat the models developed in other studies previously
but in different countries (Croatia, Germany, Greece, India, Malaysia, New Zeeland and Palestine) to check if the results are similar.
In this stage, the quality of earnings is examined in depth and
how this affects to the financial information. We should consider
that in this stage the sample of the research is concentrated in a
period with many accounting scandals; “Xexox in 2000, Enron
in 2001, Vivendi Universal and Merril Lynch in 2002, Parmalat
in 2003 and IAG in 2004”. Earnings those are either smoother or
more volatile than cash flows may be due to either the neutral
application of accounting rules and conventions or proactive discretionary choices, or both. Regardless of the underlying reason
for smoother or more volatile earnings, an empirical question
arises whether these outcomes either provide or garble information (Jayaraman, 2007). Managers may use accruals to manage
earnings opportunistically and thereby adversely affect the quality of reported earnings with regard to conveying information on
future cash flows. Even in the absence of deliberate manipulation
by managers, large accruals may be associated with a reduced
quality of reported earnings due to increased measurement errors in managers’ accruals estimates (Al-Attar et al., 2008).
The results about the quality of earnings and the non-articulation are relevant to the discussion of transparency in financial
statements and the running debate on the preference of the direct or
indirect method for presenting the SCF (Frischmann et al., 2010).
All the articles in this stage that have analysed the DM, consider that
this method provides better financial information and suggest to the
accounting regulator to only require this method to prepare the SCF
(Ward et al., 2009; Bradbury, 2011; Hales, 2013; Clacher et al., 2013).
Additionally, Orpurt & Zang (2009) defend that substantial articulation errors exist when DM cash flow components are estimated
from either indirect method cash flow statements or balance sheets,
indicating that the direct method is not redundant.
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The “secret life” of the Statement of Cash Flow: A bibliometric analysis
151
Figure 5
Network of the Stage 4
Source: Own elaboration.
When the cash flow regulation was issued maybe accounting
systems were not designed to collect information of the type required by the DM and it would be costly for companies to report
information using the gross method. However, this argument
would seem to be moot considering advances in accounting information systems since that time (Arthur et al., 2010). Before 2007 in
Australia the accounting standards only allowed the DM to calculate the SCF and the companies were able to comply with this regulation. Then the Australian accounting standards were modified
to harmonize with IFRS and the IM was also allowed. Nevertheless, very few companies changed the method to calculate the SCF
(Bond et al., 2012). Two papers here mentioned, have been very
influential in the research line about the direct method statement
of cash-flow articulation which are Arthur et al. (2010) and Orput
& Zang (2009) so they could also be classified in the second stage.
Another significant topic studied in this stage is usefulness of
SCF to estimate future cash flows. Most of the papers conclude
that SCF provides relevant information to predict future cash
flows and attribute the opposite conclusion in some previous research to the estimation of the SCF in the papers which contains
substantial errors and thus is a deficient proxy of reported cash
flow from operations (Farshadfar et al., 2008).
E. Stage 5. (2008 - nowadays). Financial crisis and last
research lines
As we see in Figure 6 the relation of the research lines still
growing. Finally, 95 papers out of the 103 researches are connected creating the networks map.
In this stage, the relation between the SCF and the stock returns is also the topic more studied. Although, as in previous
stage, there is no significant contribution in this research line, be-
cause the authors apply models developed in previous researches
to other countries (Egypt, Indonesia and Iran) or to companies
with some particularity. However, is remarkable that all studies,
except one, conclude that the SCF has value relevance.
In this period, the most cited article analyses the usefulness
of SCF to detect financial distress in the companies, extending
the application of the Z-score model, which is a financial model
to predict the likelihood of bankruptcy in a company (Almamy
et al., 2016). In this stage the researchers can take samples that
cover the recent financial crisis. Therefore, it is not a causality,
that this is the period where there are more papers analysing this
research line. All of these studies conclude that the SCF is highly
significant in predicting the health of the companies.
Charitou et al. (2015), studied the implication of the IFRS
adoption to evaluate the default risk of the firms and conclude
that this accounting regulation was beneficial to the market not
only because they reduce overall uncertainty regarding the firm
but also because they reveal new information to the market that
leads to the revision of the market’s cash flow expectations.
As a consequence of the U.S. accounting regulators do not require companies to provide complete financial statements in quarterly earnings release, rise a research line which is linked with the
topic analysed in this paper. The authors studied the balance between the costs that the companies have to provide the financial
information and what is the necessary information to have an efficient market. Since this restriction of financial information, the voluntary disclosure of items from SCF is infrequent, decreasing the
market ability to efficiently establish the share prices. Additionally,
regulators need to consider not just content but also format presentation when evaluating disclosure requirements because format
affect salience and ease of processing and ultimately the efficiency
with which the market uses the information (Teoh et al., 2016).
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Salvador de Andrés Fazio, Elena Urquía Grande, Raquel Pérez Estébanez
Figure 6
Network of the Stage 5
Source: Own elaboration.
Therefore, not only the calculation method is relevant, the
presentation of SCF and the flexibility to report the items is also
relevant. IAS 7 allows the companies to classify the interest paid,
interest received, and dividends received within operating, investing, or financing activities. However, SFAS 95 requires these
items to be classified as operating cash flows. Gordon et al.
(2017) concluded that cash flow classification flexibility within
IFRS creates a non-comparability that is absent under the more
rigid requirements of FASB. Flexibility in classification of cash
flow items introduces potential noncomparability into measurement of widely used metrics, such as accruals and free cash flow.
The Figure 7 shows the eleven keywords of the analysis.
Combining the stages studied previously and this co-word analysis, we can summarized the research line in seven main topics:
1) Articulation and the relationship between earnings and cash
flow; 2) How the Cash flow information is reflected in stock
prices; 3) SCF can be used to detect financial reporting fraud;
4) What calculation method provided better financial information (DM vs IM); 5) The utility of SCF to estimate future
cash flows; 6) The SCF facilities the estimation future earnings;
7) The SCF usefulness to detect the financial distress of the
companies.
Figure 7
Co-word analysis network
Source: Own elaboration.
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The “secret life” of the Statement of Cash Flow: A bibliometric analysis
Table 3 reflects the relationship between the main research
lines and the keywords most mentioned in the papers. While
Table 4 shows the number of papers that have studied these research lines in each stage. The total number is higher than the
sample of the Scopus database (145) because one article can
study more than one topic.
Table 3
Links between the research lines and the most mentioned key words
Research lines
Key words
Articulation and relationship between Earning, Cash Flows and
earnings and cash flow
Accruals
Stock returns
Value Relevance, Cash Flow
Prediction, Stock returns
Financial reporting fraud
Earnings management
DM vs IM
Australia, DM and Statement
of Cash Flow
Estimate future cash flow
Operating Cash Flows and
Cash Flow prediction
Estimate future earnings
Earnings and Cash Flow
Prediction
Detect financial distress
Cash Flow Prediction
The non-articulation has been proven; therefore it is a serious
issue for those articles which have estimated the SCF taking the
data from the balance sheet and the income statement, because
their conclusion can be questioned because they have applied
models which start from wrong hypothesis. However, it is understandable that the researchers tried to check the new cash flow
regulation with these models because they did not have financial
information issued according the new accounting legislation.
In addition, the non-articulation is also an issue for the
companies that calculate the SCF using the IM. Because it’s frequent presence obscures the meaning of the adjustments to net
income and this diminishes the usefulness of the information.
Therefore, the accounting regulators should at least improve the
requirements for presenting the indirect method by mandating
that companies fully explain any significant non-articulation
(Bahnson et al., 1996). Furthermore, we should also consider
that all the papers except two analysed in this research conclude
that the DM provide more relevant financial information than
the IM.
How the cash flow information is reflected in the share prices is the topic more investigated. However, there is no unified
conclusion in this research line, although over the time, the conclusions supporting the SCF to predict stock returns have grown
exponentially as we can see in Figure 8.
SCF uselfuness to stock rertuns
Source: Own elaboration.
45
40
35
30
25
20
15
10
5
Yes
Table 4
Number of paper that analyse each research line in the stages
Research lines
Articulation
and relationship
between earnings
and cash flow
Stock returns
Financial
reporting fraud
DM vs IM
Estimate future
cash flow
Estimate future
earnings
Detect financial
distress
Total
Stage 1 Stage 2 Stage 3 Stage 4 Stage 5 Total
8
8
2
1
1
20
8
16
7
18
12
61
0
3
4
1
0
8
2
2
3
9
0
16
4
3
4
13
4
28
1
3
3
2
1
10
5
5
4
2
6
22
28
40
27
46
24
165
Source: Own elaboration.
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2002
2001
2000
1999
1998
1997
1996
1994
1991
1990
0
1989
As we can see in Table 4, the articulation and relationship between earnings and cash flow were studied in the first two stages.
As we have described, in the stage 1 the authors discussed about
which provide more useful information, if the earnings based on
the role of the accounting accrual or the cash flow information.
Over time, this discussion decreases and the authors agreed both
measures help to solve different issues and even the results of the
models improve when they combine their variables.
No
Figure 8
Cumulative evolution of the conclusion about the SCF usefulness
to predict stock returns
Source: Own elaboration.
The Figure 9 shows the cluster density of bibliographic coupling network between 1989 and 2018. The greater the size of the
fonts of a label, the more often the reference (normalized) is cited by our set of papers. The distance between a pair of cited references represents the likelihood that these references are cited
together. The colors indicate the cluster whereby each research
belongs. The grouping of a reference into a cluster indicated that
this reference is more likely to be cited in combination with other references that are grouped in this cluster than with references
that are grouped in other clusters. As we can see there are five
clusters clearly identified.
The main topic studied by the papers in cluster 1 analyse the
articulation between SCF with the balance sheet and the income
statement. The grouped researches in the cluster 2 focus on the
relation between the cash flow information and the stock prices.
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Salvador de Andrés Fazio, Elena Urquía Grande, Raquel Pérez Estébanez
While the cluster 3 compiles the studies about the calculation of
the SCF (DM vs IM). Most of the papers that analysed the relationship between earnings (accruals) and cash flow information
are grouped in cluster 4, where additionally are also included the
studies about financial reporting fraud. It is logic that the both
topics are in the same cluster. Lastly, the cluster 5 mainly reflects
the researched about the usefulness of SCF to detect financial
distress or estimate future earnings.
Cluster 3
Cluster 2
Cluster 4
Cluster 1
Cluster 5
Figure 9
Cluster density
Source: Own elaboration.
Table 5 presents the number of items in each cluster and the
most cited paper.
Table 5
Number of items and most cited article in each cluster
Cluster Items
Authors
Year
Title
Citations
Bahnson
et al.
Non-articulation in cash
flow statements and
1996
implications for education,
research and practice.
25
Sloan
Do stock prices fully
reflect information in
1996
accruals and cash flows
about future earnings.
17
Orput &
Zang
Do direct cash flow
disclousures help predict
2009
future operating cash
flows and earnings.
4
15
The changing timeseries properties of
earnings, cash flow and
Givoly &
2000
accruals: Has financial
Hayn
reporting become more
conservative?
377
5
13
Dechow
et al.
425
1
2
3
25
Source: Own elaboration.
1998
The relation between
earnings and cash flows.
43
1.358
43
4. CONCLUSIONS
To analyse the state of art about the usefulness of SCF, we
have applied bibliometric techniques, where we have identified
the most influential papers in the CF usefulness research and we
classified the research in five stages due to the trend changes observed and the clusters found. Previously we had to identify the
most appropriate database to perform this analysis. Taking into
account the Traditional Overlap and the percentage of unique
documents, Scopus resulted in the best database to perform this
study.
We divided the sample in five periods according to how the
research lines have arisen or evolved and also identified and explained how the economic circumstances, financial crisis and accounting scandals, have influenced on the researchers’ interests.
Thus, as the clusters in the bibliographic network match with the
research lines identified we showed through the networks how
the connections between the papers have been growing.
The research lines, which have been checked with the purposes mentioned by the accounting regulators who issued the
cash flow standards, have mostly concluded that the SCF is useful to estimate future cash flows or earnings detect financial distress and increase the comparability.
Although, the relation between the cash flow information
and share prices is not directly mentioned by the previous
standards, it is the topic most studied. In this case, there is not
a unified conclusion about the usefulness of SCF. However, in
recent years the papers which support this benefit, have grown
exponentially.
Management Letters / Cuadernos de Gestión 22/1 (2022) 143-159
The “secret life” of the Statement of Cash Flow: A bibliometric analysis
The research has also tested the articulation between the
SCF, balance sheet and income statement. Most of the papers
conclude that there is no articulation. This is a serious issue for
those articles that developed models base on this hypothesis because their results can be questioned. However, it is compressible
that in the early stages, the authors tried to analyze the purposes
of the new accounting regulation, although they did not have
financial information issued according to this standard.
Linked to the previous research line, another two research
areas emerge. Firstly, the relationship between earnings and cash
flows derives from analysing financial reporting fraud. Most of
the articles conclude that SCF is useful to detect accounting manipulation. However, we also highlighted that there is research
that prove manipulation in the SCF. Secondly, although accounting regulators encourage calculating the SCF using Direct Method, Indirect Method is also allowed. Nevertheless, almost all the
papers that study this topic conclude that the DM provides more
relevant and useful information. For this reason, we recommend
the DM to be the only method allowing the SCF calculation.
As future research lines we will analyse, taking into account
the development in accounting software, the reasons why regulators allow the IM and continue with the CF usefulness analysis
from an empirical point of view. Additionally authors such as
Bradbury (2011) and Hales (2013) suggest other interesting lines
for future CF research.
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