Literature suggests assets become more correlated during economic down- turns. The current COVID-19 crisis provides an unprecedented opportunity to investigate this considerably further. Further, whether cryptocurrencies provide a diversification for equities is still an unsettled issue....

We present effective momentum strategies over the liquid equity futures market in India. We evaluate and determine the persistence of the returns at various look-backs ranging from quarterly and weekly to more granular look-backs. We look at a universe of the liquid equity instruments traded...

Trend-following strategies take long positions in assets with positive past returns and short positions in assets with negative past returns. They are typically constructed using futures contracts across all asset classes, with weights that are inversely proportional to volatility, and have...

The term "carry" has been primarily studied and explored within currency markets where, contrary to the uncovered interest rate parity, borrowing from a low interest rate country and investing in a high interest rate country has historically delivered positive and statistically significant...

Relying on the Stambaugh, Yu, and Yuan (2015) mispricing score and on 45 countries between 1994 and 2013, I document economically meaningful and statistically significant cross-sectional stock return predictability around the globe. In contrast to the widely held belief, mispricing associated...

This paper analyzes the existence of flights from stocks to bonds and vice versa. We propose a definition and a test for flight-to-quality, flight-from-quality and cross-asset contagion and examine their characteristics and effects for the financial system. The empirical analysis for eight...

We apply wavelet method to daily data of COVID-19 world deaths and daily Bitcoin prices from 31th December 2019 to 29th April 2020. We find especially for the period post April 5 that levels of COVID-19 caused a rise in Bitcoin prices. We contribute both to the fast-growing body of work on the...

We investigate the use of machine learning techniques into building statistically stable systematic allocation strategies. Traditionally, allocation processes usually rely on variations of Markowitz framework such as Mean Variance allocation, Maximum Diversity, Risk Allocation , Value at Risk,...

This paper employs the post — Least Absolute Shrinkage and Selection Operator (post — LASSO) to make rolling 1-month--ahead currency excess return forecasts using all other currencies' lagged forward discounts as candidate predictors. The trading strategy of buying (selling) quintile...

Time series momentum (TSM) refers to the predictability of the past 12-month return on the next one-month return and is the focus of several recent influential studies. This paper shows that asset-by-asset time series regressions reveal little evidence of TSM, both in- and out-of-sample. While...