The illiquidity of long-maturity options has made it difficult to study the term structures of option spanning portfolios. This paper proposes a new estimation and inference framework for these option-implied term structures that addresses long-maturity illiquidity. By building a sieve estimator...

We investigate the forecasting ability of the most commonly used benchmarks in financial economics. We approach the main methodological caveats of probabilistic forecasts studies – small samples, limited models and non-holistic validations – by performing a comprehensive comparison of 15...

This paper presents the first comparison of the accuracy of density forecasts for stock prices. Six sets of forecasts are evaluated for DJIA stocks, across four forecast horizons. Two forecasts are risk-neutral densities implied by the Black-Scholes and Heston models. The third set are...

We investigate the forecasting ability of the most commonly used benchmarks in financial economics. We approach the usual caveats of probabilistic forecasts studies – small samples, limited models and non-holistic validations – by performing a comprehensive comparison of 15 predictive...

The paper features an analysis of causal relations between the VIX, S&P500, and the realised volatility (RV) of the S&P500 sampled at 5 minute intervals, plus the application of an Artificial Neural Network (ANN) model to forecast the VIX. Causal relations are analysed using the recently...

In this paper we study the development of interest rate risk premium and option implied state price densities in the Euribor futures option market. Using parametric and non-parametric statistical calibration, we transform the risk-neutral option implied densities for the Euribor futures rate...

This paper studies a large number of Bitcoin options traded on the options exchange Deribit. We use the trades to calculate implied volatility and analyze if volatility forecasts can be improved using such information. Implied volatility is less accurate than ARMA or HAR model forecasts in...

We develop a simple and fast methodology for the estimation of future outstanding, discrete dividend payments, based on market prices of American at-the-money options. Our method relies on a linear combination of no-arbitrage bounds of the dividends. The corresponding optimal weight is...

We show that the dividend growth rate implied by the options market is informative about (i) the expected dividend growth rate and (ii) the expected dividend risk premium. We model the expected dividend risk premium and explore its implications for the predictability of dividend growth and stock...