No-arbitrage semi-martingale restrictions for continuous-time volatility models subject to leverage effects, jumps and i.i.d. noise: theory and testable distributional implications
From MaRDI portal
Publication:277161
DOI10.1016/j.jeconom.2006.05.018zbMath1418.62371OpenAlexW2891484854MaRDI QIDQ277161
Tim Bollerslev, Dobrislav Dobrev, Torben G. Andersen
Publication date: 4 May 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: http://www.nber.org/papers/w12963.pdf
Applications of statistics to actuarial sciences and financial mathematics (62P05) Economic time series analysis (91B84)
Related Items
Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment ⋮ UNIT ROOT TEST WITH HIGH-FREQUENCY DATA ⋮ Collective synchronization and high frequency systemic instabilities in financial markets ⋮ Forecasting and trading high frequency volatility on large indices ⋮ Forecast the realized range-based volatility: the role of investor sentiment and regime switching ⋮ Testing for jumps in conditionally Gaussian ARMA-GARCH models, a robust approach ⋮ The contribution of intraday jumps to forecasting the density of returns ⋮ Testing for mutually exciting jumps and financial flights in high frequency data ⋮ Volatility estimation and jump detection for drift-diffusion processes ⋮ The high-frequency impact of macroeconomic news on jumps and co-jumps in the cryptocurrency markets ⋮ Estimating stochastic volatility models using realized measures ⋮ The effect of intraday periodicity on realized volatility measures ⋮ Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data ⋮ PELVE: probability equivalent level of VaR and ES ⋮ Optimally thresholded realized power variations for Lévy jump diffusion models ⋮ High-frequency jump tests: which test should we use? ⋮ Large deviations of realized volatility ⋮ Cojumps and asset allocation in international equity markets ⋮ Jumps in equilibrium prices and market microstructure noise ⋮ Jump-robust volatility estimation using nearest neighbor truncation ⋮ International market links and volatility transmission ⋮ Jump tails, extreme dependencies, and the distribution of stock returns ⋮ Testing whether the underlying continuous-time process follows a diffusion: an infinitesimal operator-based approach ⋮ Parametric and nonparametric models and methods in financial econometrics ⋮ Modelling systemic price cojumps with Hawkes factor models ⋮ An Improved Test for Continuous Local Martingales ⋮ A reexamination of stock return predictability ⋮ Testing for jumps based on high-frequency data: a method exploiting microstructure noise ⋮ TESTING FOR CONTINUOUS LOCAL MARTINGALES USING THE CROSSING TREE ⋮ Threshold bipower variation and the impact of jumps on volatility forecasting ⋮ High-frequency returns, jumps and the mixture of normals hypothesis ⋮ A martingale approach for testing diffusion models based on infinitesimal operator ⋮ Inference for local distributions at high sampling frequencies: a bootstrap approach ⋮ Limit theorems for the empirical distribution function of scaled increments of Itô semimartingales at high frequencies ⋮ A ROBUST NEIGHBORHOOD TRUNCATION APPROACH TO ESTIMATION OF INTEGRATED QUARTICITY ⋮ Second-order properties of thresholded realized power variations of FJA additive processes ⋮ Equilibrium valuation of currency options with stochastic volatility and systemic co-jumps ⋮ Jumps and oil futures volatility forecasting: a new insight ⋮ The drift burst hypothesis
Cites Work
- Unnamed Item
- Testing normality: a GMM approach
- Asset pricing for general processes
- Fixed accuracy estimation of an autoregressive parameter
- Filtering and forecasting with misspecified ARCH models I. Getting the right variance with the wrong model
- Alternative models for stock price dynamics.
- Markov chain Monte Carlo methods for stochastic volatility models.
- Post-'87 crash fears in the S\&P 500 futures option market
- ARCH models as diffusion approximations
- Long memory in continuous-time stochastic volatility models
- Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- There's more to volatility than volume
- Microstructure Noise, Realized Variance, and Optimal Sampling
- The Price Variability-Volume Relationship on Speculative Markets
- A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices
- The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- The Distribution of Realized Exchange Rate Volatility
- Stochastic Volatility for Lévy Processes
- Correcting the Errors: Volatility Forecast Evaluation Using High-Frequency Data and Realized Volatilities
- Option pricing when underlying stock returns are discontinuous
- Power Variation and Time Change
- Modeling and Forecasting Realized Volatility
- On the Decomposition of Continuous Submartingales
- ON CONTINUOUS MARTINGALES
- A Tale of Two Time Scales
- Estimation of the Characteristics of the Jumps of a General Poisson-Diffusion Model