In this paper we propose a new explanation for Favourite-Longshot Bias (FLB). FLB refers to a well known phenomenon, pervasive in many sport betting markets. As measured by historically realised gains, bets on favourites appear to be more favourable than longshot bets. We show that FLB can be...

In this article we discuss bookmaker margins embedded in odds for "1X2" bets in the European football betting markets operated by bookmakers. Bookmaker margins are adjustments applied to fair odds, for the purpose of ensuring profits and compensation for risks undertaken, and to cover overall...

This paper analyzes high-frequency estimates of good and bad realized volatility of bitcoin. We show that volatility asymmetry depends on the volatility regime and the forecast horizon. For one-day ahead forecasts, good volatility commands a stronger impact on future volatility than bad...

The European economic integration and the financialization of the real estate certainly brought enormous contributions for the investment in this class of asset, on the other hand, the faster propagation of the shocks and the sudden corrections of markets become serious subjects. The aim of this...

We study how retail investor attention influences the joint evolution of cryptocurrency prices. The co-movement is measured using realized correlation and a R-squared-based measure. We find that rising attention as proxied by Google search volume indices or Twitter tweet counts Granger-causes an...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

Using a novel equity lending dataset, this paper is the first to show that expected returns strongly and negatively predict future equity lending fees. In comparing two expected return measures, I find that a rational expected return has stronger predictive power of future short selling activity...

The purpose of this study is to measured and analysed the relationship and correlations of the financial literacy, financial well-being, COVID-19 daily life influence, and individual’s monthly income toward the online shopping activities, which is measured through the estimated average monthly...

We introduce a variation of Yu(2011)'s weighted bagging estimation method and show it substantially improves the predictability of the equity premium and other economic variables. This new machine learning method sharply improves equity premium predictability of many models with significant...

The ongoing global financial crisis has become prominently visible since September 2008. This crisis affected the whole world and enhanced the importance of policy implementation to mitigate financial crises in future. Many academics blamed insufficient domestic regulation as the reason of...