Risk estimation or volatility estimation at financial markets, particularly stock exchange markets, is complex issue of … pricing of stocks and better risk management. The aim of this research is to test applicability of simple models like Simple … Moving Average (SMA) and Exponentially Weighted Moving Average (EWMA) to estimate risk. The performance of SMA and EWMA with …

when the markets offer high returns. ECINF is not only a priced risk factor, but the most significant factor in our asset … pricing tests, which suggests that ignoring the risk of information asymmetry may give rise to false discoveries of anomalies …. As a case in point, we show that momentum anomalies disappear once we control for the risk of information asymmetry. This …

loss risk. This study uses geometric Brownian motion (GBM) and Value at Risk (VaR; with the Monte Carlo Simulation approach …) on the daily closing price of JKII from 1 August 2020-13 August 2021 to predict the price and loss risk of JKII at 16 … 2.03%. Then, using VaR with a Monte Carlo Simulation approach, the loss risk prediction for 16 August 2021 (one …

exposure to systematic mispricing can bias tests of risk-return tradeoffs. Controlling for systematic mispricing, we recover … robust positive risk-return relations for many cross-sectional risk proxies, including low-risk and distress anomalies. We … arising from empirical failures of standard pricing models, and show empirical risk-return relations supporting rational …

This is the first study to investigate the profitability of Barroso and Santa-Clara's (2015) risk-managing approach for … George and Hwang's (2004) 52-week high momentum strategy in an industrial portfolio setting. The findings indicate that risk …-managing adds value as the Sharpe ratio increases, and the downside risk decreases notably. Even after controlling for the spread of …