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A hype-adjusted probability measure for NLP stock return forecasting. [PDF]
Cao Z, Geman H.
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The Importance of Forward Rate Volatility Structures in Pricing Interest Rate-Sensitive Claims
Peter Ritchken, L. Sankarasubramanian
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Can economic news sentiment inspire entrepreneurship. [PDF]
Zihan D, Fuxian Z, Xiaoli X.
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Forward interest rates and volatility of zero coupon yield in affine models
Gennady Medvedev
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The gut microbiota and sleep in infants: a focus on diurnal rhythmicity patterns
Kerff F +7 more
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From Spot Volatility to Forward Volatility
SSRN Electronic Journal, 2012The purpose of this note is to design a very simple algorithm to link the spot and the forward volatility representations. The impact of dividend volatility is stripped out from the forward volatility thanks to an analytic appraoch.
A. Reghai, Gilles Boya
semanticscholar +2 more sources
Pólya-Based Approximation for the ATM-Forward Implied Volatility
SSRN Electronic Journal, 2017We introduce a closed form approximation for the implied volatility of ATM-forward options. The relative error of this approximation is uniformly bounded for all option maturities and implied volatilities. The approximation is extremely precise, having relative error less than [Formula: see text] for all options with integrated volatility less than ...
I. Matić, R. Radoicic, D. Stefanica
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Forward and Future Implied Volatility
International Journal of Theoretical and Applied Finance, 2010We address the problem of defining and calculating forward volatility implied by option prices when the underlying asset is driven by a stochastic volatility process. We examine alternative notions of forward implied volatility and the information required to extract these measures from the prices of European options at fixed maturities.
P. Glasserman, Qi Wu
semanticscholar +4 more sources
Fuzzy Option Pricing Using a Novel Data-Driven Feed Forward Neural Network Volatility Model
IEEE International Conference on Fuzzy Systems, 2019Recently there has been a growing interest in combining randomness and fuzziness to solve option pricing problems in finance using volatility models such as GARCH (generalized autoregressive conditional heteroskedasticity) and Heston-Nandi GARCH.
A. Thavaneswaran +4 more
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