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We consider estimation of the historical volatility of stock prices. It is assumed that the stock prices are … significant. We suggest some supplements to the existing non-parametric methods of volatility estimation. Two modifications of the … standard summation formula for the volatility are derived. In addition, a lineartransformation eliminating the appreciation …
Persistent link: https://www.econbiz.de/10013094098
We propose a new estimator for the spot covariance matrix of a multi-dimensional continuous semi-martingale log asset price process which is subject to noise and non-synchronous observations. The estimator is constructed based on a local average of block-wise parametric spectral covariance...
Persistent link: https://www.econbiz.de/10010411945
We propose a new estimator for the spot covariance matrix of a multi-dimensional continuous semi-martingale log asset price process which is subject to noise and non-synchronous observations. The estimator is constructed based on a local average of block-wise parametric spectral covariance...
Persistent link: https://www.econbiz.de/10010412428
Sellers of variance swaps earn time-varying risk premia for their exposure to realized variance, the level of variance swap rates, and the slope of the variance swap curve. To measure risk premia, we estimate a dynamic term structure model that decomposes variance swap rates into expected...
Persistent link: https://www.econbiz.de/10011523781
This paper will outline the functionality available in the CovRegpy package for actuarial practitioners, wealth managers, fund managers, and portfolio analysts written in Python 3.7. The major contributions of CovRegpy can be found in the CovRegpy_DCC.py, CovRegpy_IFF.py, CovRegpy_RCR.py,...
Persistent link: https://www.econbiz.de/10014253907
This paper studies inference for the realized Laplace transform (RLT) of volatility in a fixed-span setting using … methods by examining the volatility of, and the coherence between, stocks and bonds during the large equity sell-off in …
Persistent link: https://www.econbiz.de/10012843479
This paper examines the finite sample properties of novel theoretical tests that evaluate the presence of: a) Brownian motion, b) jumps; c) finite vs. infinite activity jumps. In allowing for Gaussian, t-distributed, and Gaussian-T mixture noise, our Monte Carlo experiment guides a search for...
Persistent link: https://www.econbiz.de/10012829637
of asset-return volatility, in the context of financial risk management using high frequency data. In our evaluation we … use both statistical criteria (i.e., accuracy of directional volatility predictions) and economic criteria (i … contemporaneous return-volatility relationship and leads to new insights related to linkages between economic and statistical methods …
Persistent link: https://www.econbiz.de/10013314352
parametric approach utilizing a Stochastic-Volatility-Jump-Diffusion (SVJD) model, estimated with MCMC and extended with Particle … method may be biased in the case when large outlier jumps occur in the time series as well as when the stochastic volatility …
Persistent link: https://www.econbiz.de/10012964932
volatility. We establish its first-order asymptotic validity …
Persistent link: https://www.econbiz.de/10013492694