Forecasting price of financial market crash via a new nonlinear potential GARCH model
From MaRDI portal
Publication:2068471
DOI10.1016/j.physa.2020.125649OpenAlexW3110665809MaRDI QIDQ2068471
Dun-Zhong Xing, Jiang-Cheng Li, Chao Long, Hai-Feng Li
Publication date: 19 January 2022
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2020.125649
econophysicsfinancial market crashnew nonlinear potential GARCH modelnonlinear potential functionout of sample forecastingSPA test
Related Items
Dynamic forecasting performance and liquidity evaluation of financial market by econophysics and Bayesian methods ⋮ Dynamics of stocks prices based in the Black \& Scholes equation and nonlinear stochastic differentials equations
Cites Work
- Unnamed Item
- Role of noise in a market model with stochastic volatility
- Asset allocation under multivariate regime switching
- Estimating the dimension of a model
- Heterogeneous expectations, boom-bust housing cycles, and supply conditions: a nonlinear economic dynamics approach
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
- Generalized autoregressive conditional heteroscedasticity
- Forecasting the crude oil prices based on econophysics and Bayesian approach
- Stochastic process with multiplicative structure for the dynamic behavior of the financial market
- Dynamic behaviors and measurements of financial market crash rate
- Coherence resonance-like and efficiency of financial market
- ``Quantum equilibrium-disequilibrium: asset price dynamics, symmetry breaking, and defaults as dissipative instantons
- Statistical Inference for Unified Garch-Itô Models with High-Frequency Financial Data
- Linking agent-based models and stochastic models of financial markets
- EMPIRICAL LIKELIHOOD FOR GARCH MODELS
- VOLATILITY EFFECTS ON THE ESCAPE TIME IN FINANCIAL MARKET MODELS
- Realized Volatility
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- A Reality Check for Data Snooping
- Bayesian tail‐risk forecasting using realized GARCH
- Probability distribution of returns in the Heston model with stochastic volatility*
- The Distribution of Realized Exchange Rate Volatility
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Introduction to Econophysics
- Modeling and Forecasting Realized Volatility
- Handbook of stochastic methods for physics, chemistry and natural sciences.
- A new look at the statistical model identification