This research analyses high-frequency data of the cryptocurrency market in regards to intraday trading patterns. We study trading quantitatives such as returns, traded volumes, volatility periodicity, and provide summary statistics of return correlations to CRIX (CRyptocurrency IndeX), as well...

This paper intends to study volatility and its spillover among South Asian Countries through use of Granger causality test. Using the daily closing prices of major index of each country in South Asia, the Granger causality and C GARCH M models asses the impact of recession on the nature of...

When determining a stock to buy, Strahilevitz et al. (2011) demonstrate that individual investors often repurchase a stock previously traded for a profit as a learning process. When evaluating a decision, people use the most available information that comes to mind. We posit that the most...

This paper investigates the relationships among cross-sectional stock returns and analysts' forecast revisions, forecast dispersion and momentum. Market rewards the strategy in pursuit of revision up and away from revision down by 22.7% per annum over the 1983-2015 periods. I find that the...

Undiversifiable (or systematic risk) has long been an enemy of investors. Many countercyclical strategies have been developed to counter this. However, like all insurance types, these strategies are generally costly to implement, and over time can significantly reduce portfolio returns in long...

Managed volatility strategies adjust market exposure in inverse relation to a risk estimate, to stabilize realized portfolio volatility through time. Our paper examines strategy performance from an investment practitioner perspective. Using long-term data from the Standard & Poor's 500, we show...

In this paper we introduce a new, analytically tractable model for decision-making under risk in which psychological characteristics related to the degree of optimism or pessimism of the decision-maker are considered. The model we propose, which is based on a two-parameter optimism weighting...

We exploit the domestic portfolios of US mutual funds to provide microeconomic evidence that investors are more likely to liquidate geographically remote investments at times of high aggregate market volatility. This has important implications for asset prices. The valuations of stocks with ex...

In a panel survey of brokerage clients in the United Kingdom, participants mostly perceive their own portfolio as no more volatile than the market portfolio. Taking into account observed portfolio betas, this implies a belief in very low idiosyncratic portfolio volatility, which is even negative...

March 2020 packed 2 ½ years of normal U.S. stock market volatility into one month, making it the most volatile month on record. Daily variability clocked in at 6%, six times higher than the average over the past 90 years. How should an investor respond to such volatility? In this article we...