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Anandamayee Majumdar

Personal Details

First Name:Anandamayee
Middle Name:
Last Name:Majumdar
Suffix:
RePEc Short-ID:pma2208
[This author has chosen not to make the email address public]

Affiliation

Center of Advanced Statistics and Econometrics
Soochow University

Suzou, China
http://math.suda.edu.cn/CASER/
RePEc:edi:casoocn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Thanoj K. Muddana & Komal S.R. Bhimireddy & Anandamayee Majumdar & Rangan Gupta, 2024. "Forecasting Gold Returns Volatility Over 1258-2023: The Role of Moments," Working Papers 202421, University of Pretoria, Department of Economics.
  2. Rangan Gupta & Anandamayee Majumdar & Jacobus Nel & Sowmya Subramaniam, 2021. "Geopolitical Risks and the High-Frequency Movements of the US Term Structure of Interest Rates," Working Papers 202150, University of Pretoria, Department of Economics.
  3. Rituparna Sen & Anandamayee Majumdar & Shubhangi Sikaria, 2021. "Bayesian Testing Of Granger Causality In Functional Time Series," Papers 2112.15315, arXiv.org.
  4. Elie Bouri & Rangan Gupta & Anandamayee Majumdar & Sowmya Subramaniam, 2020. "Time-Varying Risk Aversion and Forecastability of the US Term Structure of Interest Rates," Working Papers 202098, University of Pretoria, Department of Economics.
  5. Tsangyao Chang & Rangan Gupta & Anandamayee Majumdar & Christian Pierdzioch, 2017. "Predicting Stock Market Movements with a Time-Varying Consumption-Aggregate Wealth Ratio," Working Papers 201756, University of Pretoria, Department of Economics.
  6. Rangan Gupta & Anandamayee Majumdar & Mark Wohar, 2016. "The Role of Current Account Balance in Forecasting the US Equity Premium: Evidence from a Quantile Predictive Regression Approach," Working Papers 201612, University of Pretoria, Department of Economics.
  7. Rangan Gupta & Anandamayee Majumdar & Christian Pierdzioch & Mark Wohar, 2016. "Do Terror Attacks Predict Gold Returns? Evidence from a Quantile-Predictive-Regression Approach," Working Papers 201626, University of Pretoria, Department of Economics.
  8. Mehmet Balcilar & Rangan Gupta & Renee van Eyden & Kirsten Thompson & Anandamayee Majumdar, 2015. "Comparing the Forecasting Ability of Financial Conditions Indices: The Case of South Africa," Working Papers 201517, University of Pretoria, Department of Economics.
  9. Stelios Bekiros & Rangan Gupta & Anandamayee Majumdar, 2015. "Incorporating Economic Policy Uncertainty in US Equity Premium Models: A Nonlinear Predictability Analysis," Working Papers 201545, University of Pretoria, Department of Economics.
  10. Rangan Gupta & Anandamayee Majumdar, 2014. "Forecasting US Real House Price Returns over 1831-2013: Evidence from Copula Models," Working Papers 201444, University of Pretoria, Department of Economics.
  11. Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Rangan Gupta & Anandamayee Majumdar, 2014. "Forecasting Aggregate Retail Sales: The Case of South Africa," Working Papers 15-21, Eastern Mediterranean University, Department of Economics.
  12. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 1210, University of Nevada, Las Vegas , Department of Economics.
  13. Rangan Gupta & Anandamayee Majumdar, 2011. "Reconsidering the Welfare Cost of Inflation in the US: A Nonparametric Estimation of the Nonlinear Long-Run Money Demand Equation using Projection Pursuit Regressions," Working Papers 201114, University of Pretoria, Department of Economics.
  14. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen Miller, 2010. "Forecasting Nevada Gross Gaming Revenue and Taxable Sales Using Coincident and Leading Employment Indexes," Working Papers 15-01, Eastern Mediterranean University, Department of Economics.

Articles

  1. Rituparna Sen & Anandamayee Majumdar & Shubhangi Sikaria, 2022. "Bayesian Testing of Granger Causality in Functional Time Series," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 191-210, September.
  2. Bouri, Elie & Gupta, Rangan & Majumdar, Anandamayee & Subramaniam, Sowmya, 2021. "Time-varying risk aversion and forecastability of the US term structure of interest rates," Finance Research Letters, Elsevier, vol. 42(C).
  3. Rangan Gupta & Anandamayee Majumdar & Jacobus Nel & Sowmya Subramaniam, 2021. "Geopolitical Risks And The High-Frequency Movements Of The Us Term Structure Of Interest Rates," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-16, September.
  4. Anandamayee Majumdar, 2020. "Tagore’s Song-Counts by Thematic and Non-Thematic Classification: A Statistical Case Study," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(1), pages 165-200, May.
  5. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
  6. Balcilar, Mehmet & Gupta, Rangan & van Eyden, Reneé & Thompson, Kirsten & Majumdar, Anandamayee, 2018. "Comparing the forecasting ability of financial conditions indices: The case of South Africa," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 245-259.
  7. Jiangyan Wang & Miao Yang & Anandamayee Majumdar, 2018. "Comparative study and sensitivity analysis of skewed spatial processes," Computational Statistics, Springer, vol. 33(1), pages 75-98, March.
  8. Rangan Gupta & Anandamayee Majumdar & Mark E. Wohar, 2017. "The Role of Current Account Balance in Forecasting the US Equity Premium: Evidence From a Quantile Predictive Regression Approach," Open Economies Review, Springer, vol. 28(1), pages 47-59, February.
  9. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
  10. Yang, Miao & Das, Kalyan & Majumdar, Anandamayee, 2016. "Analysis of bivariate zero inflated count data with missing responses," Journal of Multivariate Analysis, Elsevier, vol. 148(C), pages 73-82.
  11. Bekiros, Stelios & Gupta, Rangan & Majumdar, Anandamayee, 2016. "Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis," Finance Research Letters, Elsevier, vol. 18(C), pages 291-296.
  12. Rangan Gupta & Anandamayee Majumdar, 2015. "Forecasting US real house price returns over 1831-2013: evidence from copula models," Applied Economics, Taylor & Francis Journals, vol. 47(48), pages 5204-5213, October.
  13. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
  14. Aye, Goodness C. & Balcilar, Mehmet & Gupta, Rangan & Majumdar, Anandamayee, 2015. "Forecasting aggregate retail sales: The case of South Africa," International Journal of Production Economics, Elsevier, vol. 160(C), pages 66-79.
  15. Rangan Gupta & Anandamayee Majumdar, 2014. "Reconsidering the welfare cost of inflation in the US: a nonparametric estimation of the nonlinear long-run money-demand equation using projection pursuit regressions," Empirical Economics, Springer, vol. 46(4), pages 1221-1240, June.
  16. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen Miller, 2013. "Forecasting Nevada gross gaming revenue and taxable sales using coincident and leading employment indexes," Empirical Economics, Springer, vol. 44(2), pages 387-417, April.
  17. Anandamayee Majumdar & Corinna Gries & Jason Walker, 2011. "A non-stationary spatial generalized linear mixed model approach for studying plant diversity," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(9), pages 1935-1950, October.
  18. Majumdar Anandamayee & Gries Corinna, 2010. "Bivariate Zero-Inflated Regression for Count Data: A Bayesian Approach with Application to Plant Counts," The International Journal of Biostatistics, De Gruyter, vol. 6(1), pages 1-26, August.
  19. Majumdar, Anandamayee & Munneke, Henry J. & Gelfand, Alan E. & Banerjee, Sudipto & Sirmans, C.F., 2006. "Gradients in Spatial Response Surfaces With Application to Urban Land Values," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 77-90, January.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 17 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FOR: Forecasting (13) 2010-08-06 2010-08-14 2012-11-03 2012-12-15 2013-03-09 2013-04-27 2014-09-08 2015-04-02 2015-06-27 2015-09-11 2016-03-10 2016-05-14 2020-11-09. Author is listed
  2. NEP-MAC: Macroeconomics (8) 2011-07-02 2012-11-03 2012-12-15 2013-04-27 2015-04-02 2015-06-27 2015-09-11 2020-11-09. Author is listed
  3. NEP-RMG: Risk Management (3) 2016-05-14 2020-11-09 2024-06-17
  4. NEP-CMP: Computational Economics (2) 2010-08-06 2010-08-14
  5. NEP-ETS: Econometric Time Series (2) 2014-09-08 2022-02-14
  6. NEP-FMK: Financial Markets (2) 2017-07-23 2020-11-09
  7. NEP-ORE: Operations Research (2) 2010-08-06 2020-11-09
  8. NEP-AFR: Africa (1) 2013-03-09
  9. NEP-CBA: Central Banking (1) 2011-07-02
  10. NEP-ECM: Econometrics (1) 2022-02-14
  11. NEP-HIS: Business, Economic and Financial History (1) 2022-02-14
  12. NEP-MON: Monetary Economics (1) 2011-07-02
  13. NEP-URE: Urban and Real Estate Economics (1) 2014-09-08

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