Volatility Modeling
Bivariate Volatility Modeling with High-Frequency Data
... improve volatility modeling by adding information that exists on latent volatility processes while the markets are closed and no transactions ...estimate volatility by including information on ...
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Volatility modeling and prediction: the role of price impact
... of volatility, which is central to portfolio allocation, derivative valuation, and risk management, is well ...on volatility modeling has made significant advancement since the seminal work of Engle ...
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Gold Return Volatility Modeling Using Garch
... The study of gold in the capital market has been carried out by various groups. The study was conducted by utilizing gold price time series data. Some studies are focused on the analysis of gold price movements so that ...
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Asymmetric Volatility Modeling and Leverage Effect of Nifty Stocks
... varying volatility and asymmetry of Karachi Stock Exchange, in which he could examine the time varying volatility by employing GARCH (1,1) and EGARCH model and found that in KSE-100 Index stocks, positive ...
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Foreign exchange volatility modeling of Southeast Asian major economies
... rate volatility model in Southeast Asian ...the volatility of the regional currency exchange rate against the international currency, ...has volatility explainable by ...
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Discrete-time volatility forecasting with persistent leverage effect and the link with continuous-time volatility modeling
... for volatility over a time horizon which ranges from one day to one month, along with a positive and significant risk-return ...know volatility persistence, which is modeled with the HAR specification of ...
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ARFIMAX and ARFIMAX TARCH Realized Volatility Modeling
... Tick by tick linearly interpolated prices of the CAC40 and DAX30 indices were obtained from Olsen and Associates for the period of July 1995 to December 2003. The sampling frequency should be as high as the market ...
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Essays on Financial Return and Volatility Modeling
... represent the original measurements as well as possible. ICA, however, reveals components with strong property - statistical independence. To obtain uncor- related components, PCA requires only the information on second ...
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Volatility modeling and the nigerian stock return relationship in egarch –in –mean framework
... and volatility. Bekaert and Wu (2000) reported asymmetric volatility in the stock market and negative correlation between return and conditional ...market volatility in emerging ...and ...
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II. VOLATILITY MODELING A. Parametric models
... in modeling and forecasting volatility of stock ...in volatility. Since the volatility is very important for portfolio selection, option pricing and risk management, many researchers have used ...
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Modeling and forecasting volatility in global food commodity prices
... the volatility modeling can help capturing the empirical regularities that characterize the commodity ...the volatility of food com- modity markets in general is scarce, compared to the literature on ...
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Effective energy commodities’ risk management: Econometric modeling of price volatility
... The vast majority of the analyses regarding energy commodities follow a specific procedure. At an initial stage, the long time series data of the examined energy commodities are being tested for several characteristic ...
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"Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model"
... for modeling the dynamics of RV and other related volatility ...GARCH volatility dynamic structure and NIG (normal inverse Gaussian) distributed standard- ized ...measures volatility, its ...
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Modeling Volatility Spillovers in Iran Capital Market
... The volatility spillover from the gold market to other financial markets is a longstanding ...the volatility modeling for this market can be a valuable outcome for investors and ...2009) ...
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Essays on Modeling of Volatility, Duration and Volume in High-frequency Data.
... pricing, volatility has been an active area of research in financial ...[1982], volatility has generally been considered as time-varying and ...on volatility modeling has shifted away from ...
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Modeling and Forecasting the Volatility of the Export Price of Sesame in Ethiopia
... its volatility in Ethiopia using ARIMA and GARCH family ...the volatility of the export price of sesame in ...price volatility of sesame steadily increased at the beginning of the study period, ...
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Modeling and Forecasting the Volatility of Long stay Tourist Arrivals
... conditional volatility in monthly international tourist arrivals to Barbados (1973-2002), Cyprus (1976-2002) and Fiji ...constant volatility linear regression model by OLS as a baseline for comparison with ...
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Modeling and Forecasting Volatility – How Reliable are modern day approaches?
... predicting volatility and confirms the fact that negative shocks on returns have a much higher effect on volatility compared to positive ...of volatility are based on conditional return distribution, ...
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Modeling of Stochastic Volatility to Validate IDR Anchor Currency
... The volatility of financial assets' returns, such as stock indexes and exchange rates, is often perceived as a measure of the security risk based on the fluctuations of those ...that volatility could also ...
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Modeling Exchange Rate Volatility: Application of the GARCH and EGARCH Models
... When the distribution of financial time series such as exchange rate returns is compared with the normal distribution, fatter tails are observed. A fat-tailed or thick-tailed distribution has a value for kurtosis that ...
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