Arbeitspapier

A dynamic leverage stochastic volatility model

Stock returns are considered as a convolution of two random processes that are the return innovation and the volatility innovation. The correlation of these two processes tends to be negative which is the so-called leverage effect. In this study, we propose a dynamic leverage stochastic volatility (DLSV) model where the correlation structure between the return innovation and the volatility innovation is assumed to follow a generalized autoregressive score (GAS) process. We founnd that the leverage effect is reinforced in the market downturn period and weakened in the market upturn period.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 14/2021

Classification
Wirtschaft
Bayesian Analysis: General
Model Evaluation, Validation, and Selection
Financial Econometrics
Subject
Dynamic leverage
GAS
stochastic volatility (SV)

Event
Geistige Schöpfung
(who)
Nguyen, Hoang
Nguyen, Trong-Nghia
Tran, Minh-Ngoc
Event
Veröffentlichung
(who)
Örebro University School of Business
(where)
Örebro
(when)
2021

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Nguyen, Hoang
  • Nguyen, Trong-Nghia
  • Tran, Minh-Ngoc
  • Örebro University School of Business

Time of origin

  • 2021

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