Improving estimation of portfolio risk using new statistical factors
X Liu, J Guerard, R Chen, R Tsay - Annals of Operations Research, 2024 - Springer
Searching for new effective risk factors on stock returns is an important research topic in
asset pricing. Factor modeling is an active research topic in statistics and econometrics, with …
asset pricing. Factor modeling is an active research topic in statistics and econometrics, with …
Mean-variance and mean-ETL optimizations in portfolio selection: an update
In this research update, we apply the Mean-Variance (MV) and Mean-Expected Tail Loss
(ETL) portfolio optimization techniques on earnings forecasting and robust regression-based …
(ETL) portfolio optimization techniques on earnings forecasting and robust regression-based …
Long-range dependence and asset return anomaly
Y **ang, S Deng - Annals of Operations Research, 2024 - Springer
We investigate the significance of long-range dependence effect of asset prices in
forecasting asset returns. By modeling asset price dynamics as a fractional Brownian motion …
forecasting asset returns. By modeling asset price dynamics as a fractional Brownian motion …
Earnings Forecasting and Mean-Variance Efficient Portfolios in the United States
Abstract In 1993, John Mulvey co-edited a Special Issue, entitled" Financial Engineering", in
the Annals of Operations Research. In that issue, Guerard, Takano, and Yamane (1992) …
the Annals of Operations Research. In that issue, Guerard, Takano, and Yamane (1992) …
Portfolio Risk Management with Simplectica Covariance Matrix
J Thaeler - Available at SSRN 4453479, 2023 - papers.ssrn.com
In investment portfolio management, every investor generally wishes to obtain the highest
possible expected returns for a given level of risk, as represented by the volatility of the …
possible expected returns for a given level of risk, as represented by the volatility of the …