Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China
From MaRDI portal
Publication:4683105
DOI10.1080/14697688.2014.943273zbMath1398.62276OpenAlexW2128602134MaRDI QIDQ4683105
Michael McAleer, Hua Li, Wing-Keung Wong, Zhi-Dong Bai
Publication date: 19 September 2018
Published in: Quantitative Finance (Search for Journal in Brave)
Full work available at URL: http://www.kier.kyoto-u.ac.jp/DP/DP820.pdf
Inequalities; stochastic orderings (60E15) Applications of statistics to actuarial sciences and financial mathematics (62P05) Bootstrap, jackknife and other resampling methods (62F40)
Related Items (4)
New Tests for Richness and Poorness: A Stochastic Dominance Analysis of Income Distributions in Hong Kong ⋮ Stochastic dominance via quantile regression with applications to investigate arbitrage opportunity and market efficiency ⋮ Multivariate stochastic dominance for risk averters and risk seekers ⋮ Central moments, stochastic dominance, moment rule, and diversification with an application
Cites Work
- Do investors like to diversify? A study of Markowitz preferences
- Prospect and Markowitz stochastic dominance
- Stochastic dominance and mean-variance measures of profit and loss for business planning and investment
- Preferences over location-scale family
- The sizes and powers of some stochastic dominance tests: A Monte Carlo study for correlated and heteroskedastic distributions
- A note on convex stochastic dominance
- A note on almost stochastic dominance
- Detecting market crashes by analysing long-memory effects using high-frequency data
- Stock market crashes in 2007–2009: were we able to predict them?
- Preferred by “All” and Preferred by “Most” Decision Makers: Almost Stochastic Dominance
- ENHANCEMENT OF THE APPLICABILITY OF MARKOWITZ'S PORTFOLIO OPTIMIZATION BY UTILIZING RANDOM MATRIX THEORY
- Simplifying the Choice between Uncertain Prospects Where Preference is Nonlinear
- Extension of stochastic dominance theory to random variables
- Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
- An enhanced model for portfolio choice with SSD criteria: a constructive approach
- Consistent Tests for Stochastic Dominance
- The Efficiency Analysis of Choices Involving Risk
- Consistent Testing for Stochastic Dominance under General Sampling Schemes
- Justification and Extension of Doob's Heuristic Approach to the Kolmogorov- Smirnov Theorems
- Generalization of the Theorem of Glivenko-Cantelli
This page was built for publication: Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China