We consider a short-term investor who exploits return predictability in stocks and bonds to maximize mean-variance utility. Since the true parameters are unknown, we resort to portfolio optimization in form of linear regression with LASSO in order to mitigate problems related to estimation...

Betting quotes provide valuable information on market-implied probabilities for outcomes of events like elections or referendums, which may have an impact on exchange rates. We generate exchange rate forecasts around such events based on a model that combines risk-neutral event probabilities...

This paper analyzes empirically the relation between financial analysts' recommendation profitability and their forecast accuracy and shows that contrary to intuition the group of most successful recommendations is not associated with the highest accuracy on average. The finding that best...

We analyze the relation between earning forecast accuracy and expected profitability of financial analysts. Modeling forecast errors with a multivariate Gaussian distribution, a complete characterization of the payoff of each analyst is provided. In particular, closed-form expressions for the...

We study the implications of predictability on the optimal asset allocation of ambiguity-averse long-term investors and analyze the term structure of the multivariate risk-return trade-off considering parameter uncertainty. We calibrate the model to real returns of US stocks, long-term bonds,...

he aim of this paper is to evaluate the performance of inflation forecasts backed out from the nominal and real yield curves in the United Kingdom. We use the Nelson-Siegel (NS) framework to model the break-even inflation term structure, and we also consider the one-day break-even inflation...