This study addresses the question of whether the adaptive market hypothesis provides a better description of the behaviour of emerging stock market like India. We employed linear and nonlinear methods to evaluate the hypothesis empirically. The linear tests show a cyclical pattern in linear...

Using a vector error correction model I test whether shocks in the funding liquidity conditions in the U.S. and Europe separately explain deviations from the covered interest parity (CIP) between the U.S. Dollar and the Mexican Peso. I find that: (1) Apparent deviations from the CIP seem to be...

Using high-frequency price and volume data from several large exchanges, we show that FOMC and CPI announcements have a massive impact on Bitcoin's realized volatility and volume. However, this effect is a recent phenomenon, which started as inflation rose at the beginning of 2021. We also...

The study examines the predictability of 48 sovereign bond markets based on a strategy of 27,000 technical trading rules. These rules represent four popular trading rule classes, they are: moving average, filtering, support and resistance, and channel breakout rules, with numerous variants in...

I provide evidence that financial contagion risk is an important source of the equity risk premium. Banks' contributions to aggregate financial contagion are estimated in a state space framework and linked to systemic risk. Greater bank connectedness today leads to increased systemic risk 3-12...

This paper proposes a two-state predictive regression model and shows that stock market 12-month return (TMR), the time-series momentum predictor of Moskowitz, Ooi, and Pedersen (2012), forecasts the aggregate stock market negatively in good times and positively in bad times. The out-of-sample...

We find that exogenous structural shocks caused by terrorist attacks, wars, political turmoil and gold market specific events have a strong role to play in the analysis of dynamic relationships between gold and stock market returns. Our main finding is that the interaction between the gold...

The Volume-Synchronized Probability of Informed trading (VPIN) metric is introduced by Easley, Lopez de Prado, and O'Hara (2011a) as a real-time indicator of order flow toxicity. They find the measure useful in monitoring order flow imbalances and conclude it may help signal impending market...

We examine the cross-section of international equity risk premia with machine learning methods. We identify, classify, and calculate 88 market characteristics and use them to forecast country returns with various machine learning techniques. While all algorithms produce substantial economic...