A MCMC Analysis of Time-Changed Levy Processes of Stock Return Dynamics
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- Type
- article
- Published
- 2004-01-01
- Cited by
- 8
- References
- 55
- OpenAlex
- https://openalex.org/W18611023
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:73707834
Keywords
Econometrics, Markov chain Monte Carlo, Lévy process, Stock (firearms), Economics
References
- A New Class of Stochastic Volatility Models with Jumps: Theory and Estimation
- Post-'87 Crash Fears in S&P 500 Futures Options
- Pricing Interest Rate Derivatives: A General Approach
- New Insights into Smile, Mispricing, and Value at Risk: The Hyperbolic Model
- Time-Changed Levy Processes and Option Pricing ⁄
- THE ECONOMETRICS OF FINANCIAL MARKETS
- Stable Distributions and the Mixtures of Distributions Hypotheses for Common Stock Returns
- Computing Bayes Factors by Combining Simulation and Asymptotic Approximations
- Estimation of affine asset pricing models using the empirical characteristic function
- Bayesian Inference for Stable Distributions
- A Method for Simulating Stable Random Variables
- Bayesian Analysis of Stochastic Volatility Models
- A study towards a unified approach to the joint estimation of objective and risk neutral measures for the purpose of options valuation
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- MCMC Analysis of Diffusion Models With Application to Finance
- The Pricing of Options and Corporate Liabilities
- Stochastic Volatility: Likelihood Inference And Comparison With Arch Models
- Alternative models for stock price dynamics
- The Behavior of Stock-Market Prices
- Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed‐form Approximation Approach
Cited by
- The Multivariate Variance Gamma Process and Its Applications in Multi-asset Option Pricing
- Modeling Financial Security Returns Using Levy Processes
- Simulation Methods for Lévy-Driven Continuous-Time Autoregressive Moving Average (CARMA) Stochastic Volatility Models
- Deducing the Implications of Jump Models for the Structure of Stock Market Crashes, Rallies, Jump Arrival Rates, and Extremes
- Recent Developments in Stochastic Volatility: Statistical Modelling and General Equilibrium Analysis
- The Behavior of Risk and Market Prices of Risk Over the Nasdaq Bubble Period
- Simulation Methods for L ? vy-Driven Continuous-Time Autoregressive Moving Average ( CARMA ) Stochastic Volatility Models
- Bayesian Methods for High Frequency Financial Time Series Analysis
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