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The availability of high frequency financial data has generated a series of estimators based on intra-day data, improving the quality of large areas of financial econometrics. However, estimating the standard error of these estimators is often challenging. The root of the problem is that...
Persistent link: https://www.econbiz.de/10013006101
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
Persistent link: https://www.econbiz.de/10013153285
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
Persistent link: https://www.econbiz.de/10011379469
This paper revisits the fractional cointegrating relationship between ex-ante implied volatility and ex-post realized … volatility. We argue that the concept of corridor implied volatility (CIV) should be used instead of the popular model …-free option-implied volatility (MFIV) when assessing the fractional cointegrating relation as the latter may introduce bias to the …
Persistent link: https://www.econbiz.de/10013090381
This paper revisits the fractional co-integrating relationship between ex-ante implied volatility and ex-post realized … volatility. Previous studies on stock index options have found biases and inefficiencies in implied volatility as a forecast of … future volatility. It is argued that the concept of corridor implied volatility (CIV) should be used instead of the popular …
Persistent link: https://www.econbiz.de/10011280711
In this paper we test for (Generalized) AutoRegressive Conditional Heteroskedasticity [(G)ARCH] in daily data on 22 exchange rates and 13 stock market indices using the standard Lagrange Multiplier [LM] test for GARCH and a LM test that is resistant to patches of additive outliers. The data span...
Persistent link: https://www.econbiz.de/10011284080
This article proposes a general class of joint and marginal diagnostic tests for parametric conditional mean and variance models of possibly nonlinear non-Markovian time series sequences. The use of joint and marginal tests is motivated from the fact that marginal tests for the conditional...
Persistent link: https://www.econbiz.de/10012729924
Understanding the jump dynamics of market prices is important for asset pricing and risk management. Despite their analytical tractability, parametric models may impose unrealistic restrictions on the temporal dependence structure of jumps. In this paper, we introduce a nonparametric inference...
Persistent link: https://www.econbiz.de/10012824843
We propose a multivariate generalization of the multiplicative volatility model of Engle and Rangel (2008), which has a …
Persistent link: https://www.econbiz.de/10013148178
Numerous tests designed to detect realized jumps over a fixed time span have been proposed and extensively studied in the financial econometrics literature. These tests differ from “long time span tests” that detect jumps by examining the magnitude of the jump intensity parameter in the data...
Persistent link: https://www.econbiz.de/10012025640