This paper proposes a consistent estimator for the realized covariance of high frequency and asynchronous assets' returns that are contaminated by microstructure noise. The main contribution is the introduction of the pseudoaggregation which transforms the observations into series with the same...

In this paper we analyze and interpret the quote price dynamics of 100 NYSE stocks stratified by trade frequency. We specify an error-correction model for the log difference of the bid and the ask price with the spread acting as the error-correction term, and include as regressors the...

Which are the main frictions and driving forces of business cycle dynamics in a small open economy? To answer this question we extend what is becoming the standard new Keynesian model in three dimensions. First, we incorporate frictions in the financing of the capital stock. Second, we model...

This article examines the implications of the existence of private information in the spot foreign exchange market. Our framework is a high-frequency version of a structural microstructure trade model that measures the market maker's beliefs directly. We find that the underpinnings for the...

FinTech is a new term combining finance and technology. The term did not exist until the end of 2014. Although there is agreement over what finance is, there is no agreed upon definition of technology. It changes with time. American sociologist Read Bain wrote in 1937 that technology includes...

As we leave behind the assumption of normality in return distributions, the classical risk-reward Sharpe Ratio becomes a questionable tool for ranking risky projects. In the spirit of Sharpe thinking, a more general risk-reward ratio Phi suitable to compare skewed return distributions with...

We introduce two online backtest overfitting tools: BODT simulates the overfitting of seasonal strategies (typical of technical analysis), and TMST simulates the overfitting of econometric strategies (typical of academic journals). We show that econometric methods lend themselves to extreme...

Mean-Variance portfolios are optimal in-sample, however they tend to perform poorly out-of-sample (even worse than the 1/N naïve portfolio!) We introduce a new portfolio construction method that substantially improves the Out-Of-Sample performance of diversified portfolios.The full paper is...

For large portfolio managers, a sequence of single-period optimal positions is rarely multi-period optimal. In particular, transaction costs can prevent large portfolio managers from monetizing most of their forecasting power. The solution is to compute the trading trajectory that comes...

High Frequency Trading is pervasive across all electronic financial markets. As algorithms replace an increasing number of tasks previously performed by humans, cascading effects similar to the Flash Crash of May 6th 2010 become more likely. In this study, we bring together a number of different...