Implicit Bayesian Inference Using Option Prices

Bayesian Inference for Derivative Prices

Option Pricing on Commodity Prices Using Jump Diffusion Models

In this paper, we aim at developing a model for option pricing to reduce the risks associated with Ethiopian commodity prices fluctuations. We used the daily closed Unwashed Lekempti grade 5 (ULK5) coffee and Whitish Wollega Sesame Seed Grade3 (WWSS3) prices obtained from Ethiopia commodity exchange (ECX) market to analyse the prices fluctuations.The natures of log-returns of the prices exhibit a...

Term Structure Movements Implicit in Asian Option Prices

In this paper we implement dynamic term structure models that adopt bonds and Asian options in the estimation process. The goal is to analyze the pricing and hedging implications of term structure movements when options are (or not) included in the estimation process. We analyze how options affect the shape, risk premium and hedging structure of the dynamic factors. We find that the inclusion o...

Variational Inference using Implicit Distributions

Generative adversarial networks (GANs) have given us a great tool to fit implicit generative models to data. Implicit distributions are ones we can sample from easily, and take derivatives of samples with respect to model parameters. These models are highly expressive and we argue they can prove just as useful for variational inference (VI) as they are for generative modelling. Several papers h...

Bayesian inference Using

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