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[PDF] Top 20 Estimating Financial Volatility with High-Frequency Returns

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Estimating Financial Volatility with High-Frequency Returns

Estimating Financial Volatility with High-Frequency Returns

... suggested, high-frequency financial data are recorded much more fre- quently than the ‘standard’ data ...of financial time series analysis are both low-frequency and regularly spaced, ... See full document

31

Functional GARCH models: the quasi likelihood approach and its applications

Functional GARCH models: the quasi likelihood approach and its applications

... of high frequency data has initiated many new research areas in ...to financial data, where high-frequency trading currently takes a significant proportion of trading ...realised ... See full document

32

Global engagement and returns volatility

Global engagement and returns volatility

... to financial shocks such as the deterioration of the balance sheet of the main bank providing export credit to an exporter, than firms using foreign ...between volatility and the intensity of sales ... See full document

31

Modeling GHS-USD Exchange Rate in Ghana: Application of Stochastic Volatility Model

Modeling GHS-USD Exchange Rate in Ghana: Application of Stochastic Volatility Model

... implied volatility from a stochastic volatility model over the implied volatility on the forecasting ...implied volatility and a realized volatility is carried out for checking the ... See full document

9

Essays on estimation and inference for volatility with high frequency data

Essays on estimation and inference for volatility with high frequency data

... Financial econometrics continues to make progress in developing more robust and efficient estimators of volatility. But for some estimators, the asymptotic variance is hard to derive or may take a ... See full document

169

Time series properties of ARCH processes with persistent covariates

Time series properties of ARCH processes with persistent covariates

... of volatility. Specifically, we propose and study a volatility model, named ARCH-NNH model, that is an ARCH(1) process with a nonlinear function of a persistent, integrated or nearly integrated, explanatory ... See full document

45

Bivariate Volatility Modeling with High-Frequency Data

Bivariate Volatility Modeling with High-Frequency Data

... night volatility into the day conditional volatility equation of one low-frequency as well as a number of high-frequency GARCH ...facilitates volatility estimation, and allows ... See full document

15

Volatility and covariation of financial assets: a high frequency analysis

Volatility and covariation of financial assets: a high frequency analysis

... The application of the TSRV has been tested in empirical studies using both Monte Carlo sim- ulations and financial data. Extensive research can be found in A¨ıt-Sahalia and Mancini (2006) where they compare the T ... See full document

53

Implementation of the Estimating Functions Approach in Asset Returns Volatility  Forecasting Using First Order  Asymmetric GARCH Models

Implementation of the Estimating Functions Approach in Asset Returns Volatility Forecasting Using First Order Asymmetric GARCH Models

... of estimating functions (EF) in the modelling and forecasting of financial returns ...most financial time series, into modelling, leading to a substantial gain of infor- mation and overall ... See full document

9

Application of Garch Models to Estimate and Predict Financial Volatility of Daily Stock Returns in Nigeria

Application of Garch Models to Estimate and Predict Financial Volatility of Daily Stock Returns in Nigeria

... stock returns and the result of our test for ARCH effect which justifies the use of symmetric and asymmetric GARCH-family models for our ...examining financial time series are the kurtosis and ...stock ... See full document

18

Uncovering Long Memory in High Frequency UK Futures

Uncovering Long Memory in High Frequency UK Futures

... Ding et al (1993) propose a generalised version of seven GARCH related processes with a link based on their parameter values, named an APARCH model. This model nests the following specifications: ARCH (Engle, 1982); ... See full document

29

Intraday Periodicity and Long Memory  Volatility in Hong Kong Stock Market

Intraday Periodicity and Long Memory Volatility in Hong Kong Stock Market

... of volatility in Hong Kong Stock Market based on a long sample of high-frequency 5-min Heng Seng Index ...intraday volatility is not acting as completely U-shaped Pattern, what is special in ... See full document

6

The Behavior of Istanbul Stock Exchange Market: An Intraday Volatility/Return Analysis Approach

The Behavior of Istanbul Stock Exchange Market: An Intraday Volatility/Return Analysis Approach

... the volatility observed during the day and can provide improved volatility ...range-based volatility estimators can be applied to any interval, the reliability of the estimate is dependent on the ... See full document

26

Modeling Exchange Rate Volatility: Application of the GARCH and EGARCH Models

Modeling Exchange Rate Volatility: Application of the GARCH and EGARCH Models

... of financial time series such as exchange rate returns is compared with the normal distribution, fatter tails are ...rate returns irrespective of the regime when standardized by their scale exhibit ... See full document

24

Three Essays on Financial Durations.

Three Essays on Financial Durations.

... allows volatility to be influenced by durations under the GARCH ...higher volatility, no trade being interpreted as no ...between volatility and ...of volatility on trading intensity. They ... See full document

106

Estimating spot volatility with high frequency financial data

Estimating spot volatility with high frequency financial data

... spot volatility estimators based on the Realized Kernel estimator and the Pre-Averaging ...spot volatility weighted by the so-called delta sequence and have provided theoretical analysis; our estimator is a ... See full document

61

Estimating spot volatility with high-frequency financial data

Estimating spot volatility with high-frequency financial data

... spot volatility estimators based on the Realized Kernel estimator and the Pre-Averaging ...spot volatility weighted by the so-called delta sequence and have provided theoretical analysis; our estimator is a ... See full document

62

Garch Parameter Estimation Using High Frequency Data

Garch Parameter Estimation Using High Frequency Data

... daily returns do quite well in describing financial volatil- ity, but they seem incompatible with intraday high-frequency data at first ...and volatility is then the square root of the ... See full document

33

Realized Volatility in Noisy Prices: a MSRV approach

Realized Volatility in Noisy Prices: a MSRV approach

... and volatility estimation and inference has attracted substantial attention in the recent financial econometric literature, especially in high-frequency ...analyses. ... See full document

8

Financial Integration, Volatility of Financial Flows and Macroeconomic Volatility

Financial Integration, Volatility of Financial Flows and Macroeconomic Volatility

... of financial openness and macroeconomic stability (measured by the stability of output and ...the volatility of output growth over the period 1971-1994 in 93 ...of financial integration is associated ... See full document

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