Option augmented density forecasts of market returns with monotone pricing kernel
From MaRDI portal
Publication:4554445
DOI10.1080/14697688.2017.1383626zbMath1406.62111OpenAlexW2770846117MaRDI QIDQ4554445
Asad Dossani, Brendan K. Beare
Publication date: 14 November 2018
Published in: Quantitative Finance (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/14697688.2017.1383626
Inference from stochastic processes and prediction (62M20) Density estimation (62G07) Applications of statistics to actuarial sciences and financial mathematics (62P05)
Cites Work
- Unnamed Item
- Measure preserving derivatives and the pricing kernel puzzle
- A tale of two option markets: pricing kernels and volatility risk
- Estimation of risk-neutral densities using positive convolution approximation
- Testing monotonicity of pricing kernels
- Generalized autoregressive conditional heteroscedasticity
- On the distance between the empirical process and its concave majorant in a monotone regression framework. (Sur la distance entre le processus empirique et son majorant concave dans un modèle de régression monotone)
- Nonparametric risk management and implied risk aversion
- Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise
- Quantile and Probability Curves Without Crossing
- Three Solutions to the Pricing Kernel Puzzle*
- NONPARAMETRIC TESTS OF DENSITY RATIO ORDERING
- Nonparametric tests for and against likelihood ratio ordering in the two-sample problem
- Probabilistic Forecasts, Calibration and Sharpness
- Maximum penalized likelihood estimation. Vol. 1: Density estimation
This page was built for publication: Option augmented density forecasts of market returns with monotone pricing kernel