Nothing Special   »   [go: up one dir, main page]

create a website
Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions. (2016). Quaedvlieg, Rogier ; Patton, Andrew ; Bollerslev, Tim.
In: CREATES Research Papers.
RePEc:aah:create:2016-10.

Full description at Econpapers || Download paper

Cited: 7

Citations received by this document

Cites: 61

References cited by this document

Cocites: 50

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. Covariance forecasting in equity markets. (2018). Symeonidis, Lazaros ; Markellos, Raphael ; Kourtis, Apostolos ; Symitsi, Efthymia.
    In: Journal of Banking & Finance.
    RePEc:eee:jbfina:v:96:y:2018:i:c:p:153-168.

    Full description at Econpapers || Download paper

  2. Forecasting realized variance measures using time-varying coefficient models. (2018). Bekierman, Jeremias ; Manner, Hans.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:34:y:2018:i:2:p:276-287.

    Full description at Econpapers || Download paper

  3. Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty. (2018). Hautsch, Nikolaus ; Voigt, Stefan.
    In: Papers.
    RePEc:arx:papers:1709.06296.

    Full description at Econpapers || Download paper

  4. Large-scale portfolio allocation under transaction costs and model uncertainty. (2017). Hautsch, Nikolaus ; Voigt, Stefan.
    In: CFS Working Paper Series.
    RePEc:zbw:cfswop:582.

    Full description at Econpapers || Download paper

  5. The Realized Hierarchical Archimedean Copula in Risk Modelling. (2017). Tetereva, Anastasija ; Okhrin, Ostap.
    In: Econometrics.
    RePEc:gam:jecnmx:v:5:y:2017:i:2:p:26-:d:101602.

    Full description at Econpapers || Download paper

  6. On the economic determinants of optimal stock-bond portfolios: international evidence. (2017). Conrad, Christian ; Stuermer, Karin .
    In: Working Papers.
    RePEc:awi:wpaper:0636.

    Full description at Econpapers || Download paper

  7. Multiplicative Conditional Correlation Models for Realized Covariance Matrices. (2016). Storti, Giuseppe ; Braione, Manuela ; Bauwens, Luc.
    In: CORE Discussion Papers.
    RePEc:cor:louvco:2016041.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. Aı̈t-Sahalia, Y., Fan, J., Xiu, D., 2010. High-frequency covariance estimates with noisy and asynchronous financial data. Journal of the American Statistical Association 105 (492).

  2. Andersen, T. G., Bollerslev, T., Christoffersen, P. F., Diebold, F. X., 2013. Financial risk measurement for financial risk management. In: Handbook of the Economics of Finance (eds. G.

  3. Andersen, T. G., Bollerslev, T., Diebold, F. X., Labys, P., 2003. Modeling and forecasting realized volatility. Econometrica 71 (2), 579–625.

  4. Andersen, T. G., Bollerslev, T., Diebold, F. X., Wu, G., 2006. Realized beta: Persistence and predictability. Advances in Econometrics 20, 1–39.
    Paper not yet in RePEc: Add citation now
  5. Andersen, T. G., Bollerslev, T., Huang, X., 2011. A reduced form framework for modeling volatility of speculative prices based realized variation measures. Journal of Econometrics 160 (2), 176–189.

  6. Andersen, T. G., Bollerslev, T., Meddahi, N., 2004. Analytical evaluation of volatility forecasts.

  7. Andersen, T. G., Dobrev, D., Schaumburg, E., 2012. Jump-robust volatility estimation using nearest neighbor truncation. Journal of Econometrics 169 (1), 75–93.

  8. Anderson, E. W., Cheng, A.-R. M., 2016. Robust Bayesian portfolio choice. Review of Financial Studies (forthcoming).
    Paper not yet in RePEc: Add citation now
  9. Baker, M., Bradley, B., Wurgler, J., 2011. Benchmarks as limits to arbitrage: Understanding the low-volatility anomaly. Financial Analysts Journal 67 (1), 40–54.
    Paper not yet in RePEc: Add citation now
  10. Bandi, F. M., Russell, J. R., Zhu, Y., 2008. Using high-frequency data in dynamic portfolio choice. Econometric Reviews 27 (1-3), 163–198.

  11. Barndorff-Nielsen, O. E., Hansen, P. R., Lunde, A., Shephard, N., 2011. Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading. Journal of Econometrics 162 (2), 149–169.

  12. Barndorff-Nielsen, O. E., Shephard, N., 2004. Econometric analysis of realized covariation: High frequency based covariance, regression, and correlation in financial economics. Econometrica 72 (3), 885–925.

  13. Bollerslev, T., 1990. Modelling the coherence in short-run nominal exchange rates: A multivariate Generalized ARCH model. Review of Economics and Statistics 72 (3), 498–505.

  14. Bollerslev, T., Patton, A. J., Quaedvlieg, R., 2016. Exploiting the errors: A simple approach for improved volatility forecasting. Journal of Econometrics 192 (1), 1–18.

  15. Brodie, J., Daubechies, I., De Mol, C., Giannone, D., Loris, I., 2009. Sparse and stable markowitz portfolios. Proceedings of the National Academy of Sciences 106 (30), 12267–12272.
    Paper not yet in RePEc: Add citation now
  16. Brown, D. B., Smith, J. E., 2011. Dynamic portfolio optimization with transaction costs: Heuristics and dual bounds. Management Science 57 (10), 1752–1770.

  17. Chan, L. K., Karceski, J., Lakonishok, J., 1999. On portfolio optimization: Forecasting covariances and choosing the risk model. Review of Financial Studies 12 (5), 937–974.

  18. Chiriac, R., Voev, V., 2010. Modelling and forecasting multivariate realized volatility. Journal of Applied Econometrics 26 (6), 922–947.
    Paper not yet in RePEc: Add citation now
  19. Christensen, K., Kinnebrock, S., Podolskij, M., 2010. Pre-averaging estimators of the ex-post covariance matrix in noisy diffusion models with non-synchronous data. Journal of Econometrics 159 (1), 116–133.

  20. Corsi, F., 2009. A simple approximate long-memory model of realized volatility. Journal of Financial Econometrics 7 (2), 174–196.

  21. De Lira Salvatierra, I., Patton, A. J., 2015. Dynamic copula models and high frequency data. Journal of Empirical Finance 30, 120–135.

  22. DeMiguel, V., Garlappi, L., Nogales, F. J., Uppal, R., 2009a. A generalized approach to portfolio optimization: Improving performance by constraining portfolio norms. Management Science 55 (5), 798–812.

  23. DeMiguel, V., Garlappi, L., Uppal, R., 2009b. Optimal versus naive diversification: How inefficient is the 1/N portfolio strategy? Review of Financial Studies 22 (5), 1915–1953.

  24. DeMiguel, V., Nogales, F. J., Uppal, R., 2014. Stock return serial dependence and out-of-sample portfolio performance. Review of Financial Studies 27 (4), 1031–1073.

  25. Diebold, F. X., Mariano, R. S., 2002. Comparing predictive accuracy. Journal of Business & Economic Statistics 20 (1).

  26. Engle, R., Kelly, B., 2012. Dynamic equicorrelation. Journal of Business & Economic Statistics 30 (2), 212–228.

  27. Epps, T. W., 1979. Comovements in stock prices in the very short run. Journal of the American Statistical Association 74 (366a), 291–298.
    Paper not yet in RePEc: Add citation now
  28. Fan, J., Li, Y., Yu, K., 2012. Vast volatility matrix estimation using high-frequency data for portfolio selection. Journal of the American Statistical Association 107 (497), 412–428.

  29. Fleming, J., Kirby, C., Ostdiek, B., 2001. The economic value of volatility timing. Journal of Finance 56 (1), 329–352.

  30. Fleming, J., Kirby, C., Ostdiek, B., 2003. The economic value of volatility timing using realized volatility. Journal of Financial Economics 67 (3), 473–509.

  31. Gonçalves, S., Meddahi, N., 2009. Bootstrapping realized volatility. Econometrica 77 (1), 283–306.

  32. Han, Y., 2006. Asset allocation with a high dimensional latent factor stochastic volatility model. Review of Financial Studies 19 (1), 237–271.

  33. Hansen, P. R., Lunde, A., 2005. A realized variance for the whole day based on intermittent highfrequency data. Journal of Financial Econometrics 3, 525–554.

  34. Hansen, P. R., Lunde, A., 2006. Realized variance and market microstructure noise. Journal of Business & Economic Statistics 24 (2), 127–161.

  35. Hansen, P. R., Lunde, A., Nason, J. M., 2011. The model confidence set. Econometrica 79 (2), 453–497.

  36. Hautsch, N., Kyj, L. M., Malec, P., 2015. Do high-frequency data improve high-dimensional port30 folio allocations? Journal of Applied Econometrics 30 (2), 263–290.

  37. Holtz-Eakin, D., Newey, W., Rosen, H. S., 1988. Estimating vector autoregressions with panel data.

  38. Jagannathan, R., Ma, T., 2003. Risk reduction in large portfolios: Why imposing the wrong constraints helps. Journal of Finance 58 (4), 1651–1684.

  39. Komunjer, I., Ng, S., 2014. Measurement errors in dynamic models. Econometric Theory 30 (1), 150–175.

  40. Laurent, S., Rombouts, J. V., Violante, F., 2013. On loss functions and ranking forecasting performances of multivariate volatility models. Journal of Econometrics 173 (1), 1–10.

  41. Lawrence, C. T., Tits, A. L., 2001. A computationally efficient feasible sequential quadratic programming algorithm. Siam Journal on Optimization 11 (4), 1092–1118.
    Paper not yet in RePEc: Add citation now
  42. Ledoit, O., Wolf, M., 2003. Improved estimation of the covariance matrix of stock returns with an application to portfolio selection. Journal of Empirical Finance 10 (5), 603–621.

  43. Ledoit, O., Wolf, M., 2004a. Honey, I shrunk the sample covariance matrix. Journal of Portfolio Management 30 (4), 110–119.
    Paper not yet in RePEc: Add citation now
  44. Ledoit, O., Wolf, M., 2004b. A well-conditioned estimator for large-dimensional covariance matrices. Journal of Multivariate Analysis 88 (2), 365–411.

  45. Li, J., 2015. Sparse and stable portfolio selection with parameter uncertainty. Journal of Business & Economic Statistics 33 (3), 381–392.

  46. Liu, Q., 2009. On portfolio optimization: How and when do we benefit from high-frequency data? Journal of Applied Econometrics 24 (4), 560–582.

  47. Lunde, A., Shephard, N., Sheppard, K., 2015. Econometric analysis of vast covariance matrices using composite realized kernels and their application to portfolio choice. Journal of Business & Economic Statistics (forthcoming).
    Paper not yet in RePEc: Add citation now
  48. Magnus, J. R., Neudecker, H., 1980. The elimination matrix: some lemmas and applications. SIAM Journal on Algebraic Discrete Methods 1 (4), 422–449.

  49. Marcellino, M., Stock, J., Watson, M., 2006. A comparison of direct and iterated multistep ar methods for forecasting macroeconomic time series. Journal of Econometrics 135, 499–526.

  50. Noureldin, D., Shephard, N., Sheppard, K., 2012. Multivariate high-frequency-based volatility (HEAVY) models. Journal of Applied Econometrics 27 (6), 907–933.

  51. Oh, D. H., Patton, A. J., 2015. High dimension copula-based distributions with mixed frequency data. Journal of Econometrics, Forthcoming.

  52. Pakel, C., Shephard, N., Sheppard, K., Engle, R. F., 2014. Fitting vast dimensional time-varying covariance models. Working Paper.

  53. Patton, A. J., 2011. Volatility forecast comparison using imperfect volatility proxies. Journal of Econometrics 160 (1), 246–256.

  54. Politis, D. N., Romano, J. P., 1994. The stationary bootstrap. Journal of the American Statistical Association 89 (428), 1303–1313.
    Paper not yet in RePEc: Add citation now
  55. Pooter, M. d., Martens, M., Dijk, D. v., 2008. Predicting the daily covariance matrix for S&P 100 stocks using intraday data–but which frequency to use? Econometric Reviews 27 (1-3), 199–229.

  56. Sizova, N., 2011. Integrated variance forecasting: Model based vs. reduced form. Journal of Econometrics 162, 294–311.

  57. Staudenmayer, J., Buonaccorsi, J. P., 2005. Measurement error in linear autoregressive models. Journal of the American Statistical Association 100 (471), 841–852.

  58. Tu, J., Zhou, G., 2011. Markowitz meets Talmud: A combination of sophisticated and naive diversification strategies. Journal of Financial Economics 99, 204–215.

  59. Varneskov, R., Voev, V., 2013. The role of realized ex-post covariance measures and dynamic model choice on the quality of covariance forecasts. Journal of Empirical Finance 20, 83–95.

  60. Voev, V., 2008. Dynamic modelling of large-dimensional covariance matrices. In: High Frequency Financial Econometrics (eds. L. Bauwens, W. Pohlmeier and D. Veredas). Physica-Verlag, pp. 293–312.

  61. White, H., 2000. A reality check for data snooping. Econometrica 68 (5), 1097–1126.

Cocites

Documents in RePEc which have cited the same bibliography

  1. Unified Discrete-Time Factor Stochastic Volatility and Continuous-Time Ito Models for Combining Inference Based on Low-Frequency and High-Frequency. (2020). Song, Xinyu ; Kim, Donggyu ; Wang, Yazhen.
    In: Papers.
    RePEc:arx:papers:2006.12039.

    Full description at Econpapers || Download paper

  2. A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics. (2019). Lillo, Fabrizio ; Corsi, Fulvio ; Bormetti, Giacomo ; Buccheri, Giuseppe .
    In: Papers.
    RePEc:arx:papers:1803.04894.

    Full description at Econpapers || Download paper

  3. Ambiguous Correlation. (2018). Halevy, Yoram ; Epstein, Larry.
    In: Microeconomics.ca working papers.
    RePEc:ubc:pmicro:yoram_halevy-2017-2.

    Full description at Econpapers || Download paper

  4. Do co-jumps impact correlations in currency markets?. (2018). Vacha, Lukas ; Baruník, Jozef ; Barunik, Jozef.
    In: Journal of Financial Markets.
    RePEc:eee:finmar:v:37:y:2018:i:c:p:97-119.

    Full description at Econpapers || Download paper

  5. Estimating the integrated volatility using high-frequency data with zero durations. (2018). Liu, Zhi ; Jing, Bing-Yi ; Kong, Xin-Bing.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:204:y:2018:i:1:p:18-32.

    Full description at Econpapers || Download paper

  6. Adaptive thresholding for large volatility matrix estimation based on high-frequency financial data. (2018). Kim, Donggyu ; Wang, Yazhen ; Li, Cui-Xia ; Kong, Xin-Bing.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:203:y:2018:i:1:p:69-79.

    Full description at Econpapers || Download paper

  7. Two-stage stationary bootstrapping for bivariate average realized volatility matrix under market microstructure noise and asynchronicity. (2018). Hwang, Eunju ; Shin, Dong Wan.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:202:y:2018:i:2:p:178-195.

    Full description at Econpapers || Download paper

  8. Efficient asymptotic variance reduction when estimating volatility in high frequency data. (2018). Potiron, Yoann ; Clinet, Simon.
    In: Papers.
    RePEc:arx:papers:1701.01185.

    Full description at Econpapers || Download paper

  9. Local Parametric Estimation in High Frequency Data. (2018). Potiron, Yoann.
    In: Papers.
    RePEc:arx:papers:1603.05700.

    Full description at Econpapers || Download paper

  10. Model-Free Approaches to Discern Non-Stationary Microstructure Noise and Time-Varying Liquidity in High-Frequency Data. (2018). Mykland, Per A ; Chen, Richard Y.
    In: Papers.
    RePEc:arx:papers:1512.06159.

    Full description at Econpapers || Download paper

  11. The Generalized Conditional Autoregressive Wishart Model for Multivariate Realized Volatility. (2017). , Philip ; Ng, F C ; Li, W K.
    In: Journal of Business & Economic Statistics.
    RePEc:taf:jnlbes:v:35:y:2017:i:4:p:513-527.

    Full description at Econpapers || Download paper

  12. Time endogeneity and an optimal weight function in pre-averaging covariance estimation. (2017). Koike, Yuta.
    In: Statistical Inference for Stochastic Processes.
    RePEc:spr:sistpr:v:20:y:2017:i:1:d:10.1007_s11203-016-9135-3.

    Full description at Econpapers || Download paper

  13. LARGE DEVIATIONS OF THE REALIZED (CO-)VOLATILITY VECTOR. (2017). Samoura, Yacouba ; Guillin, Arnaud ; Djellout, Hacene .
    In: Post-Print.
    RePEc:hal:journl:hal-01082903.

    Full description at Econpapers || Download paper

  14. Estimation of the realized (co-)volatility vector: Large deviations approach. (2017). Djellout, Hacene ; Samoura, Yacouba ; Guillin, Arnaud .
    In: Stochastic Processes and their Applications.
    RePEc:eee:spapps:v:127:y:2017:i:9:p:2926-2960.

    Full description at Econpapers || Download paper

  15. Using principal component analysis to estimate a high dimensional factor model with high-frequency data. (2017). Ait-Sahalia, Yacine ; Xiu, Dacheng.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:201:y:2017:i:2:p:384-399.

    Full description at Econpapers || Download paper

  16. Econometric analysis of multivariate realised QML: Estimation of the covariation of equity prices under asynchronous trading. (2017). Shephard, Neil ; Xiu, Dacheng.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:201:y:2017:i:1:p:19-42.

    Full description at Econpapers || Download paper

  17. Estimation of integrated quadratic covariation with endogenous sampling times. (2017). Potiron, Yoann ; Mykland, Per A.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:197:y:2017:i:1:p:20-41.

    Full description at Econpapers || Download paper

  18. Bootstrapping integrated covariance matrix estimators in noisy jump–diffusion models with non-synchronous trading. (2017). Hounyo, Ulrich.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:197:y:2017:i:1:p:130-152.

    Full description at Econpapers || Download paper

  19. Positive semidefinite integrated covariance estimation, factorizations and asynchronicity. (2017). Quaedvlieg, Rogier ; Laurent, Sébastien ; Lunde, Asger ; Boudt, Kris ; Sauri, Orimar .
    In: Journal of Econometrics.
    RePEc:eee:econom:v:196:y:2017:i:2:p:347-367.

    Full description at Econpapers || Download paper

  20. Do co-jumps impact correlations in currency markets?. (2017). Vacha, Lukas ; Baruník, Jozef ; Barunik, Jozef.
    In: Papers.
    RePEc:arx:papers:1602.05489.

    Full description at Econpapers || Download paper

  21. Asymptotic theory for large volatility matrix estimation based on high-frequency financial data. (2016). Zou, Jian ; Kim, Donggyu ; Wang, Yazhen.
    In: Stochastic Processes and their Applications.
    RePEc:eee:spapps:v:126:y:2016:i:11:p:3527-3577.

    Full description at Econpapers || Download paper

  22. Sparse PCA-based on high-dimensional Itô processes with measurement errors. (2016). Wang, Yazhen ; Kim, Donggyu.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:152:y:2016:i:c:p:172-189.

    Full description at Econpapers || Download paper

  23. Intra-day realized volatility for European and USA stock indices. (2016). Floros, Christos ; Degiannakis, Stavros.
    In: Global Finance Journal.
    RePEc:eee:glofin:v:29:y:2016:i:c:p:24-41.

    Full description at Econpapers || Download paper

  24. Copula structured M4 processes with application to high-frequency financial data. (2016). Zhang, Zhengjun ; Zhu, Bin.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:194:y:2016:i:2:p:231-241.

    Full description at Econpapers || Download paper

  25. Increased correlation among asset classes: Are volatility or jumps to blame, or both?. (2016). Ait-Sahalia, Yacine ; Xiu, Dacheng.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:194:y:2016:i:2:p:205-219.

    Full description at Econpapers || Download paper

  26. A bias-corrected estimator of the covariation matrix of multiple security prices when both microstructure effects and sampling durations are persistent and endogenous. (2016). Ikeda, Shin.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:193:y:2016:i:1:p:203-214.

    Full description at Econpapers || Download paper

  27. Estimating the quadratic covariation matrix for asynchronously observed high frequency stock returns corrupted by additive measurement error. (2016). LINTON, OLIVER ; Park, Sujin ; Hong, Seok Young .
    In: Journal of Econometrics.
    RePEc:eee:econom:v:191:y:2016:i:2:p:325-347.

    Full description at Econpapers || Download paper

  28. Sparse Kalman Filtering Approaches to Covariance Estimation from High Frequency Data in the Presence of Jumps. (2016). Ho, Michael ; Xin, Jack .
    In: Papers.
    RePEc:arx:papers:1602.02185.

    Full description at Econpapers || Download paper

  29. Estimation of integrated quadratic covariation with endogenous sampling times. (2016). Potiron, Yoann ; Mykland, Per .
    In: Papers.
    RePEc:arx:papers:1507.01033.

    Full description at Econpapers || Download paper

  30. Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions. (2016). Quaedvlieg, Rogier ; Patton, Andrew ; Bollerslev, Tim.
    In: CREATES Research Papers.
    RePEc:aah:create:2016-10.

    Full description at Econpapers || Download paper

  31. Intra-Day Realized Volatility for European and USA Stock Indices. (2015). Floros, Christos ; Degiannakis, Stavros.
    In: MPRA Paper.
    RePEc:pra:mprapa:64940.

    Full description at Econpapers || Download paper

  32. Functional stable limit theorems for quasi-efficient spectral covolatility estimators. (2015). Altmeyer, Randolf ; Bibinger, Markus.
    In: Stochastic Processes and their Applications.
    RePEc:eee:spapps:v:125:y:2015:i:12:p:4556-4600.

    Full description at Econpapers || Download paper

  33. Econometrics of co-jumps in high-frequency data with noise. (2015). Winkelmann, Lars ; Bibinger, Markus.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:184:y:2015:i:2:p:361-378.

    Full description at Econpapers || Download paper

  34. Estimating the Spot Covariation of Asset Prices – Statistical Theory and Empirical Evidence. (2014). Malec, Peter ; Hautsch, Nikolaus ; Bibinger, Markus ; Reiss, Markus .
    In: SFB 649 Discussion Papers.
    RePEc:hum:wpaper:sfb649dp2014-055.

    Full description at Econpapers || Download paper

  35. Functional stable limit theorems for efficient spectral covolatility estimators. (2014). Bibinger, Markus ; Altmeyer, Randolf .
    In: SFB 649 Discussion Papers.
    RePEc:hum:wpaper:sfb649dp2014-005.

    Full description at Econpapers || Download paper

  36. LARGE DEVIATIONS OF THE REALIZED (CO-)VOLATILITY VECTOR. (2014). Djellout, Hacene ; Samoura, Yacouba ; Guillin, Arnaud .
    In: Working Papers.
    RePEc:hal:wpaper:hal-01082903.

    Full description at Econpapers || Download paper

  37. Large and moderate deviations of realized covolatility. (2014). Djellout, Hacene ; Samoura, Yacouba .
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:86:y:2014:i:c:p:30-37.

    Full description at Econpapers || Download paper

  38. Quasi-likelihood analysis for nonsynchronously observed diffusion processes. (2014). Yoshida, Nakahiro ; Ogihara, Teppei .
    In: Stochastic Processes and their Applications.
    RePEc:eee:spapps:v:124:y:2014:i:9:p:2954-3008.

    Full description at Econpapers || Download paper

  39. Limit theorems for the pre-averaged Hayashi–Yoshida estimator with random sampling. (2014). Koike, Yuta.
    In: Stochastic Processes and their Applications.
    RePEc:eee:spapps:v:124:y:2014:i:8:p:2699-2753.

    Full description at Econpapers || Download paper

  40. A quasi-maximum likelihood approach for integrated covariance matrix estimation with high frequency data. (2014). Liu, Cheng ; Tang, Cheng Yong.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:180:y:2014:i:2:p:217-232.

    Full description at Econpapers || Download paper

  41. Covariance estimation using high-frequency data: Sensitivities of estimation methods. (2014). Haugom, Erik ; Veka, Steinar ; Westgaard, Sjur ; Lien, Gudbrand.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:43:y:2014:i:c:p:416-425.

    Full description at Econpapers || Download paper

  42. Disentangled jump-robust realized covariances and correlations with non-synchronous prices. (2014). Elst, Harry Vander ; Veredas, David.
    In: DES - Working Papers. Statistics and Econometrics. WS.
    RePEc:cte:wsrepe:ws142416.

    Full description at Econpapers || Download paper

  43. Disentangled jump-robust realized covariances and correlations with non-synchronous prices. (2014). Veredas, David ; Elst, Harry Vander.
    In: DES - Working Papers. Statistics and Econometrics. WS.
    RePEc:cte:wsrepe:es142416.

    Full description at Econpapers || Download paper

  44. Bootstrapping integrated covariance matrix estimators in noisy jump-diffusion models with non-synchronous trading. (2014). Hounyo, Ulrich.
    In: CREATES Research Papers.
    RePEc:aah:create:2014-35.

    Full description at Econpapers || Download paper

  45. Positive Semidefinite Integrated Covariance Estimation, Factorizations and Asynchronicity. (2014). Quaedvlieg, Rogier ; Laurent, Sébastien ; Boudt, Kris ; Lunde, Asger.
    In: CREATES Research Papers.
    RePEc:aah:create:2014-05.

    Full description at Econpapers || Download paper

  46. The leverage effect puzzle: Disentangling sources of bias at high frequency. (2013). Fan, Jianqing ; Ait-Sahalia, Yacine.
    In: Journal of Financial Economics.
    RePEc:eee:jfinec:v:109:y:2013:i:1:p:224-249.

    Full description at Econpapers || Download paper

  47. Missing in Asynchronicity: A Kalman-EM Approach for Multivariate Realized Covariance Estimation. (2012). Corsi, Fulvio ; Audrino, Francesco ; Peluso, Stefano.
    In: Economics Working Paper Series.
    RePEc:usg:econwp:2012:02.

    Full description at Econpapers || Download paper

  48. An estimator for the quadratic covariation of asynchronously observed Itô processes with noise: Asymptotic distribution theory. (2012). Bibinger, Markus.
    In: Stochastic Processes and their Applications.
    RePEc:eee:spapps:v:122:y:2012:i:6:p:2411-2453.

    Full description at Econpapers || Download paper

  49. Testing for co-jumps in high-frequency financial data: an approach based on first-high-low-last prices. (2011). Liao, Yin ; Anderson, Heather.
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2011-9.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2024-12-12 06:30:43 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated October, 6 2023. Contact: CitEc Team.