This paper introduces Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data of unknown underlying distribution. The moments with conditional heteroscedasticity have been discussed. In a Monte Carlo experiment, it was found that the QML estimator performs as well as CLS and...

The accuracy of variance prediction depends on both the specification and the accuracy of parameter estimation. To predict stock return variance in a large and ever-changing universe, this paper proposes to replace the classic time-series dynamics specification per each name with a...

In assessing drivers of commodity prices and volatility at this stage of the current super-cycle in commodities (year 12 of a projected 25), it is vital to understand that production cost is a fundamental. Moreover, marginal production costs are among the most powerful drivers of commodity...

This paper investigates how stock-specific and market-wide news sentiments, obtained from Thomson Reuters News Analytics, affect abnormal returns of S&P 500 stocks. It is well-known that the relationships between the stock-specific news sentiment and raw stock returns are rather weak. This can...

This paper tests the relationship between above market returns and beta, size, leverage, book-to-market equity and earning-price ratios for Bucharest Stock Exchange common stocks. Results from cross-sectional regressions document that both book-to-market equity and earning-price ratios are...

The market impact (MI) of Volume Weighted Average Price (VWAP) orders is a slightly convex function of a trading rate, but most empirical estimates of transaction cost are concave functions. How is this possible? We suggest a model that ts all trading regimes and guarantees no-dynamic-arbitrage

The market impact (MI) of Volume Weighted Average Price (VWAP) orders is a convex function of a trading rate, but most empirical estimates of transaction cost are concave functions. How is this possible? We show that isochronic (constant trading time) MI is slightly convex, and isochoric...

We study how the distribution of stock returns is influenced through investor opinion by applying expectile regression to abnormal NASDAQ returns over the period April 2015 - August 2019. Thereby, we differentiate between different aspects of investor opinion: investor perception, attention and...

Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...

We provide empirical evidence of volatility forecasting in relation to asymmetries present in the dynamics of both return and volatility processes. Using recently-developed methodologies to detect jumps from high frequency price data, we estimate the size of positive and negative jumps and...