We show how time-series of random market trade values and volumes completely describe stochasticity of stock returns. We derive equation that links up returns with current and past trade values and show how statistical moments of the trade values and volumes determine statistical moments of...

The paper develops an easy-to-apply test for contagion. In order to address the main challenge of any contagion test, that of endogeneity, the testing is conducted in the structural vector autoregression (SVAR) framework where we assume the reduced form errors follow a mixed-normal distribution....

We present evidence of significant bias in event studies that investigate the effect of U.S. monetary policy on U.S. stock prices. To overcome this bias, we propose a new identification method based on the "Impossible Trinity" theory which argues that an economy with a fixed exchange rate and...

This research investigates Banks' profitability in the United Arab Emirates from 2008 to 2012 using Bankscope Data Base, Financial Statement, and quantitative methodology techniques. This study focuses on 4 banks, 2 Islamic banks (Dubai Islamic Bank PJSC, Abu Dhabi Islamic Bank - Public Joint...

The financial performance of governments in issuing debt is an open empirical question. We develop performance measures for the decisions debt management offices (DMOs) face: The amount to issue is largely exogenous to them, but they determine its distribution across issue dates (timing) and the...

We study arbitrage opportunities in diverse markets as introduced by R. Fernholz in [Fer99]. By a change of measure technique we are able to generate a variety of diverse markets. The construction is based on an absolutely continuous, but nonequivalent measure change which implies the existence...

This paper studies a dynamic market microstructure model, in which a strategic market maker competes with an informed trader. We include the presence of noise traders and limit order traders in our setup. Our model is a N-period model. We give necessary and sufficient conditions for an...

We present an order flow model framework for limit order driven markets. Different from previous models we explicitly model a reference price process that “sweeps” the limit order book as it fluctuates up and down. Our framework allows us to use any stochastic process to model this reference...

We show the statistical properties of the most important cryptocurrencies, of which Bitcoin is the most prominent example. We characterize their exchange rates versus the US Dollar by fitting parametric distributions to them. It is shown that returns are clearly non-normal, with standard...

Cryptocurrencies became popular with the emergence of Bitcoin and have shown an unprecedented growth over the last few years. As of November 2016, more than 720 cryptocurrencies exist, with Bitcoin still being the most popular one. We provide both a statistical analysis as well as an extreme...