All Stories

  1. Does the COVID-19 pandemic affect the asset allocation performance? Evidence from a composite asset selection approach
  2. The influence of the COVID-19 pandemic on the short- and long-term interactions in the agricultural market: Evidence from a connectedness network approach
  3. The COVID-19 pandemic affects the interactions between four markets
  4. The Interactions between the Emerging and Developed Markets
  5. Structural change in the correlation, return and volatility spillovers: evidence from the oil, stock and exchange rate markets in the United States
  6. Promote the Performance of Parametric Volatility Forecasts using A Neural Networks Approach
  7. The Implementation of Asset Allocation Approaches: Theory and Evidence
  8. The impact of liquidity on portfolio value-at-risk forecasts
  9. The Value-At-Risk Estimate of Stock and Currency-Stock Portfolios’ Returns
  10. Sustainable Returns: The Effect of Regional Industrial Development Policy on Institutional Investors’ Behavior in China
  11. The assessment of United States quantitative easing policy: Evidence from global stock markets
  12. How do financial features affect volatility forecasts? Evidence from the oil market and other markets
  13. How the Quantitative Easing Affect the Spillover Effects between the Metal Market and United States Dollar Index?
  14. Value-at-risk estimates of the stock indices in developed and emerging markets including the spillover effects of currency market
  15. The interrelation of stock markets in China, Taiwan and Hong Kong and their constructional portfolio’s value-at-risk estimate
  16. long memory, leverage, and distribution effects for stock market risk estimates
  17. Value-at-Risk Estimation via a Semi-Parametric Approach
  18. Why does skewness or the fat-tail effect play a major role in value-at-risk estimates?
  19. How candlestick features affect the performance of volatility forecasts: evidence from the stock market
  20. How to mitigate the impact of inappropriate distributional settings when the parametric value-at-risk approach is used
  21. Alternative statistical distributions for estimating value-at-risk: theory and evidence
  22. Empirical analysis of jump dynamics, heavy-tails and skewness on value-at-risk estimation
  23. Value-at-Risk Forecasts in U.S. Stock Market index with Skewed Generalized Error Distributions