Pair trading is a strategy which relies on betting on the relative mispricing of the spread between two securities which share a long-term relationship. These strategies have shown to perform well with equities, however not much research has been conducted in the field of cryptocurrencies, even...

In this paper, we investigate the impact of market sentiment on cryptocurrency returns. To accomplish this, we use a novel dataset that captures a multitude of attitudes, moods, and emotions extracted from a vast amount of news and social media content. Our findings indicate that social media...

We analyze investors' motives for trading on international stock markets and investigate whether evidence for these motives is robust when time-varying market volatility, changes between calm and turbulent periods, and existence of international financial spillovers are controlled for. Applying...

Microeconomic modeling of investors behavior in financial markets and its results crucially depends on assumptions about the mathematical shape of the underlying preference functions as well as their parameterizations. With the purpose to shed some light on the question, which preferences...

This report is a brief of the actual research and discusses two ways of asset allocation in Hedge Funds to generate alpha over the fund of hedge funds. The fund of hedge funds have fallen out of favour for investors seeking alternative investments as they have lagged the general market returns....

In Part 1 a simple market timing algorithm was described that switches from an exchange traded fund representing U. S. equities (SPY) to one holding treasury long bonds (TLT) every month on the last day, the switch being made to whichever ETF has the greatest ratio of current adjusted closing...

This study examines the effect of Herding in different states (low, high and extreme volatility) in Tehran Stock Exchange during the years 2009-2013 using Chang et al. (2000) and Balcilar et al. (2013) models. In this survey, herding is tested under 3 market regimes. The results don't show...

These working notes on algorithmic trading are designed as an introduction to the basic equations that govern the day-to-day trading of an investment portfolio to meet a predefined strategic asset allocation. The algebraic framework applies generally to long only and long/short strategies. It...

This paper studies the ability of a general class of habit-based asset pricing models to match the conditional moment restrictions implied by asset pricing theory.

The present paper aims to test a new model comparison methodology by calibrating and comparing three agent-based models of financial markets on the daily returns of 18 indices. The models chosen for this empirical application are the herding model of Gilli & Winker, its asymmetric version by...