This paper examines time-varying stock price and volatility dynamics of constituent industry sector indices in the Shanghai Stock Exchange. It finds that market beta risk is priced in the time-series movements of stock prices and responds positively to rises in non-diversifiable risk. The asset...

We present a model for active trading based on reinforcement machine learning and apply this to five major cryptocurrencies in circulation. In relation to a buy-and-hold approach, we demonstrate how this model yields enhanced risk-adjusted returns and serves to reduce downside risk. These...

This paper examines the time-varying behaviour of beta risk and degree of volatility persistence in the daily stock returns of 30 industry portfolios consisting of firms from the NYSE, AMEX and NASDAQ stock exchanges. Using an exponential ARCH (EGARCH) for this purpose, it further examines the...

This paper examines the time-series relation between the price-earnings (P/E) multiple and market volatility for the G-7 markets. If investors are risk-averse agents and demand a higher required rate of return to take on more risk, then we should expect P/E to be inversely related to volatility....