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of computational burden and estimation error. First the number of correlation coefficients to be estimated would grow …
Persistent link: https://www.econbiz.de/10009665551
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
We present a non-parametric method to estimate the discount curve from market quotes based on the Moore-Penrose pseudoinverse. The discount curve reproduces the market quotes perfectly, has maximal smoothness, and is given in closed-form. The method is easy to implement and requires only basic...
Persistent link: https://www.econbiz.de/10011516039
It is a stylized fact that trade indicator models (e.g. Madhavan, Richardson, and Roomans (1997) and Huang and Stoll (1997)) underestimate the bid-ask spread. We argue that this negative bias is due to an endogeneity problem which is caused by a negative correlation between the arrival of public...
Persistent link: https://www.econbiz.de/10010399356
Generalized Method of Moments (GMM) estimation procedure to cope with the documented difficulties of previous methodologies. We … foreign exchange markets. -- Random Lognormal cascades ; GMM estimation ; best linear forecasting ; volatility of financial …
Persistent link: https://www.econbiz.de/10009389845
This paper proposes computational framework for empirical estimation of Financial Agent-Based Models (FABMs) that does … FABMs estimation purposes. To start with, we apply the methodology to the popular and widely analysed model of Brock and …
Persistent link: https://www.econbiz.de/10011448663
through one-step penalized least squares estimation with the Kullback-Leibler divergence as the penalty function. Asymptotic …
Persistent link: https://www.econbiz.de/10010462645
This paper is the first to characterize the intraday performance of leveraged exchange-traded funds (ETFs), for which I introduce a superior volatility estimator for high-frequency analysis. Leveraged ETFs, which attempt to reproduce two or three times the daily performance of their underlying...
Persistent link: https://www.econbiz.de/10013133819
We develop a new efficient and analytically tractable method for estimation of parametric volatility models that is … empirical Laplace transform of the unobservable volatility. The estimation then is done by matching moments of the integrated …
Persistent link: https://www.econbiz.de/10013137409
with model estimation for S&P Index returns, suggests that volatility moves are best captured by infinite variation pure …
Persistent link: https://www.econbiz.de/10013119659