In this analysis of the risk and return of stocks in global markets, we apply several applications of robust regression techniques in producing stock selection models and several optimization techniques in portfolio construction in global stock universes.We find that (1) that robust regression applications are appropriate for modeling stock returns in global markets; and (2) mean-variance techn...

This paper aims to estimate the Value-at-Risk (VaR) using GARCH type models with improved return distribution. Value at Risk (VaR) is an essential benchmark for measuring the risk of financial markets quantitatively. The parametric method, historical simulation, and Monte Carlo simulation have been proposed in several financial mathematics and engineering studies to calculate VaR, that each of ...

aaccording to the trade-off theory, firm managers consider the transaction and precautionary motives to determine the optimal level of cash by comparing the benefits and costs of cash holdings. the purpose of this paper is to examine the impact of deviation from expected optimal cash on future stock returns among irans’s listed companies (tehran stock exchange). the analyses are performed by us...

I study the options-implied market risks that affect US stock–bond correlations from 2007 to 2021. discover stock and bond uncertainty, tail risk, global credit-default risk are dominant contributors changing during financial crisis (GFC) period. However, these collectively contribute much less time-varying in post-GFC Furthermore, rise times of rising risks. Rising uncertainty raises GFC perio...