Hedging with Linear Regressions and Neural Networks

Code

• github.com/weiguanwang/Hedging_Neural_Networks
  OfficialIn papertf★ 40
• github.com/guanzi0629/Hedging_Neural_Networks
  OfficialIn papertf★ 40

Abstract

We study neural networks as nonparametric estimation tools for the hedging of options. To this end, we design a network, named HedgeNet, that directly outputs a hedging strategy. This network is trained to minimise the hedging error instead of the pricing error. Applied to end-of-day and tick prices of S&P 500 and Euro Stoxx 50 options, the network is able to reduce the mean squared hedging error of the Black-Scholes benchmark significantly. However, a similar benefit arises by simple linear regressions that incorporate the leverage effect.

Reproductions