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Parameter estimation and forecasting for multiplicative lognormal cascades
Leövey, Andrés E.; Lux, Thomas - 2011
foreign exchange markets. -- Random Lognormal cascades ; GMM estimation ; best linear forecasting ; volatility of financial … Generalized Method of Moments (GMM) estimation procedure to cope with the documented difficulties of previous methodologies. We … by estimating the intermittency parameter and forecasting of volatility for a sample of financial data from stock and …
Persistent link: https://www.econbiz.de/10009389845
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Global variance term premia and intermediary risk appetite
Van Tassel, Peter; Vogt, Erik - 2016
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
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Data-driven jump detection thresholds for application in jump regressions
Davies, Robert; Tauchen, George Eugene - 2015
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011524214
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Data-driven jump detection thresholds for application in jump regressions
Davies, Robert; Tauchen, George Eugene - In: Econometrics : open access journal 6 (2018) 2, pp. 1-25
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011823308
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Do we need stochastic volatility and generalised autoregressive conditional heteroscedasticity? : Comparing squared end-of-day returns on ftse
Allen, David E.; McAleer, Michael - In: Risks : open access journal 8 (2020) 1/12, pp. 1-20
The paper examines the relative performance of Stochastic Volatility (SV) and Generalised Autoregressive Conditional … Heteroscedasticity (GARCH) (1,1) models fitted to ten years of daily data for FTSE. As a benchmark, we used the realized volatility (RV … two standard volatility models if the simple expedient of using lagged squared demeaned daily returns provides a better RV …
Persistent link: https://www.econbiz.de/10012203997
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What Difference Fat Tails Make : A Bayesian MCMC Estimation of Empirical Asset Pricing Models
Glabadanidis, Paskalis - 2017
This chapter presents an empirical application of Bayesian MCMC estimation to the three main asset pricing models in …
Persistent link: https://www.econbiz.de/10012949435
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Inferring Equity Durations Around FOMC Surprises : Estimates and Implications
Chen, Zhanhui - 2020
Discount rates affect stock prices directly via the discount-rate channel or indirectly via the cash-flow channel because expected future cash-flow growth varies with the discount rates. The traditional Macaulay duration captures the effect from the discount-rate channel. I propose a novel...
Persistent link: https://www.econbiz.de/10012851441
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Efficient Estimation of Expected Stock Price Returns
Madan, Dilip B. - 2017
density estimation have significantly lower standard errors when compared to estimates derived via the usual method of …
Persistent link: https://www.econbiz.de/10012966101
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HighFrequencyCovariance : A Julia Package for Estimating Covariance Matrices Using High Frequency Financial Data
Baumann, Stuart; Klymak, Margaryta - 2021
for volatility, correlation and covariance using high frequency financial data. It also implements complementary … paper first presents the issues associated with exploiting high frequency financial data. We then describe the volatility …
Persistent link: https://www.econbiz.de/10013237488
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On the modeling of financial time series
Kutergin, Aleksey; Filimonov, Vladimir - In: Financial econometrics and empirical market microstructure, (pp. 131-151). 2015
Persistent link: https://www.econbiz.de/10011326692