The paper explores the lead-lag relationship between the variables of order imbalance and return in futures and spot markets. Order imbalance is defined as the difference between buyer and seller initiated trades. Using tick test, the trades have been classified as buyer and seller initiated....

It is well established that firms that undertake high levels of capital investment relative to their scale of operations, as measured by total assets, sales, or similar criteria, tend to have lower subsequent stock returns than firms with the opposite characteristic. Intuitively, this finding is...

We are comparing two approaches for stochastic volatility and jumps estimation in the EUR/USD time series - the non-parametric power-variation approach using high-frequency returns, and the parametric Bayesian approach (MCMC estimation of SVJD models) using daily returns. We find that both of...

This paper investigates how technical trading systems exploit the momentum and reversal effects in the S&P 500 spot and futures market. When based on daily data, the profitability of 2580 technical models has steadily declined since 1960, and has been unprofitable since .the early 1990s....

Previous studies document statistically significant evidence of crude oil return predictability by several forecasting variables. We suggest that this evidence is misleading and follows from the common use of within-month averages of daily oil prices in calculating returns used in predictive...

This study fits 22 theoretical distribution functions, four of them originally derived, onto 772 cryptocurrency daily returns with goodness-of-fit evaluated using Cramer-von Mises, Anderson-Darling, Kuiper, Kolmogorov-Smirnov, and Chi-squared tests, as well as a harmonic mean p-value synthetic...

While simultaneously accounting for the effects of sovereign and corporate bond spreads, we document that emerging market economy (EME) equity returns have a strong predictive power for future output growth and account for a significant fraction of output fluctuations in these countries. Our...

I analyze time series momentum along the Treasury yield curve. Past bond returns predict future returns both due to autocorrelation in bond risk premia and because unexpected bond return shocks increase the premium. Yield curve momentum is primarily due to autocorrelation in yield changes rather...

In this study, we apply a rolling window approach to wavelet-filtered (denoised) S&P500 returns (2000–2020) to obtain time varying Hurst exponents. We analyse the dynamics of the Hurst exponents by applying statistical tests (e.g., for stationarity, Gaussianity and self-similarity), a...

Currency factors, such as momentum, carry and value, are well-known candidates for alternative risk premia strategies. Benefiting from low correlations with traditional asset classes, FX factors can provide portfolio diversification advantages, while delivering idiosyncratic returns. In this...