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Linear statistical inference for global and local minimum variance portfolios
Frahm, Gabriel (contributor) - 2007
of the estimated expected portfolio returns. -- Estimation risk ; linear regression theory ; Markowitz portfolio …
Persistent link: https://www.econbiz.de/10003449380
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Characteristic-sorted portfolios : estimation and inference
Cattaneo, Matias D.; Crump, Richard K.; Farrell, Max H.; … - 2016
Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...
Persistent link: https://www.econbiz.de/10011523775
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The effect of estimation in high-dimensional portfolios
Gandy, Axel; Veraart, Luitgard - In: Mathematical finance : an international journal of … 23 (2013) 3, pp. 531-559
Persistent link: https://www.econbiz.de/10009783354
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Nonlinear prediction of conditional percentiles for value-at-risk
Chang, Isaac J. - In: Glucksman fellowship program student research reports. 1999
Persistent link: https://www.econbiz.de/10001467190
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Optimizing stock market returns during global pandemic using regression in the context of Indian stock market
Debnath, Pradip; Srivastava, Hari M. - In: Journal of risk and financial management : JRFM 14 (2021) 8, pp. 1-10
Stock markets around the world experienced a massive collapse during the first wave of COVID-19. Roughly in the month of January 2021, the second wave of COVID-19 struck in India, reaching its peak in May, and by the end of May, the active cases started to decline. A third wave is again...
Persistent link: https://www.econbiz.de/10012627066
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CVaR regression based on the relation between CVaR and mixed-quantile quadrangles
Golodnikov, Alex; Kuzmenko, Viktor; Uryasev, Stan - In: Journal of risk and financial management : JRFM 12 (2019) 3/107, pp. 1-22
. The research presented involved developing algorithms for the implementation of linear regression for estimating CVaR as a … function of some factors. Such regression is called CVaR (superquantile) regression. The main statement of this paper is: CVaR … linear regression can be reduced to minimizing the Rockafellar error function with linear programming. The theoretical basis …
Persistent link: https://www.econbiz.de/10012025262
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Least Quartic regression criterion to evaluate systematic risk in the presence of co-skewness and co-kurtosis
Arbia, Giuseppe; Bramante, Riccardo; Facchinetti, Silvia - In: Risks : open access journal 8 (2020) 3/95, pp. 1-14
This article proposes a new method for the estimation of the parameters of a simple linear regression model which is …
Persistent link: https://www.econbiz.de/10012293311
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Mixed-frequency predictive regressions with parameter learning
Leippold, Markus; Yang, Hanlin - In: Journal of forecasting 42 (2023) 8, pp. 1955-1972
Persistent link: https://www.econbiz.de/10014432824
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Confidence intervals for diffusion index forecasts and inference for factor-augmented regressions
Bai, Jushan; Ng, Serena - In: Econometrica : journal of the Econometric Society, an … 74 (2006) 4, pp. 1133-1150
Persistent link: https://www.econbiz.de/10003346183