2021
DOI: 10.3389/fams.2020.611878
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A New Nonparametric Estimate of the Risk-Neutral Density with Applications to Variance Swaps

Abstract: Estimates of risk-neutral densities of future asset returns have been commonly used for pricing new financial derivatives, detecting profitable opportunities, and measuring central bank policy impacts. We develop a new nonparametric approach for estimating the risk-neutral density of asset prices and reformulate its estimation into a double-constrained optimization problem. We evaluate our approach using the S&P 500 market option prices from 1996 to 2015. A comprehensive cross-validation study shows th… Show more

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“…This approach has continued to enjoy wider acceptance in the recent empirical literature (see, e.g. Zhu et al, 2019;Jiang et al, 2019;Lorenčič, 2016;Kim et al, 2019;Noor et al, 2014). Interpolation procedures have vastly been employed in time series and cross-sectional data sets (Honaker & King, 2010;Lepot et al, 2017;Wongsai et al, 2017), and predominantly in groundwater resource data mappings due to challenges of data limitations associated with empirical analysis in this subject area.…”
Section: Methodsmentioning
confidence: 99%
“…This approach has continued to enjoy wider acceptance in the recent empirical literature (see, e.g. Zhu et al, 2019;Jiang et al, 2019;Lorenčič, 2016;Kim et al, 2019;Noor et al, 2014). Interpolation procedures have vastly been employed in time series and cross-sectional data sets (Honaker & King, 2010;Lepot et al, 2017;Wongsai et al, 2017), and predominantly in groundwater resource data mappings due to challenges of data limitations associated with empirical analysis in this subject area.…”
Section: Methodsmentioning
confidence: 99%