We study whether prices of traded options contain information about future extreme market events. Our option-implied conditional expectation of market loss due to tail events, or tail loss measure, predicts future market returns, magnitude, and probability of the market crashes, beyond and above...

News carry information of market moves. The gargantuan plethora of opinions, facts and tweets on financial business offers the opportunity to test and analyze the influence of such text sources on future directions of stocks. It also creates though the necessity to distill via statistical...

We show that technical indicators deliver economic value in predicting the U.S. equity premium. A crucial element of this value stems from the stability of return predictability over the full sample period from 1950 to 2013. Results tentatively improve over time and beat alternatives over...

I provide evidence that risks in macroeconomic fundamentals contain valuable information about bond risk premia. I extract factors from a set of quantile-based risk measures estimated for US macroeconomic variables and document that they account for up to 31% of the variation in excess bond...

We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectationformation process in the US stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time as...

In a no-arbitrage framework, any variable that affects the pricing of the domestic yield curve has the potential to predict foreign exchange risk premiums. The most widely used interest rate predictor is the difference in short rates across countries, known as carry, but the short rate is only...

Recent literature has focuses on realized volatility models to predict financial risk. This paper studies the benefit of explicitly modeling jumps in this class of models for value at risk (VaR) prediction. Several popular realized volatility models are compared in terms of their VaR forecasting...

This paper evaluates in-sample and out-of-sample stock return predictability with inflation and output gap, the variables that typically enter the Federal Reserve Bank's interest rate setting rule. To examine the role of monetary policy fundamentals for stock return predictability, we introduce...

Rogers-Satchell (RS) measure is an efficient volatility measure. This paper proposes quantile RS (QRS) measure to ensure robustness and correct the downward bias of RS measure with an additive term. Moreover scaling factors are provided for different interquantile ranges to ensure unbiasedness....