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Nigeria stock market volatility in comparison with some countries : application of asymmetric GARCH models
Uyaebo, Stephen O.; Atoi, Victor N.; Usman, Farida - In: CBN journal of applied statistics 6 (2015) 2, pp. 133-160
volatility reaction to market shocks and volatility persistence alongside the asymmetric properties. The results reveal that … volatility of Nigeria and Kenya stock returns react to market shock faster than as other countries do. The results also suggest …
Persistent link: https://www.econbiz.de/10011460578
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Testing volatility in Nigeria stock market using GARCH models
Atoi, Ngozi V. - In: CBN journal of applied statistics 5 (2014) 2, pp. 65-93
The contributions of error distributions have been ignored while modeling stock market volatility in Nigeria and … studies have shown that the application of appropriate error distribution in volatility model enhances efficiency of the model … asymmetric volatility models each in Normal, Student's-t and generalized error distributions with the view to selecting the best …
Persistent link: https://www.econbiz.de/10011489480
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Volatility Estimation and Forecasts Based on Price Durations
Hong, Seok Young - 2020
high-frequency data better and produce more accurate forecasts than competing realized volatility and option …
Persistent link: https://www.econbiz.de/10012855793
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An alternative conditional asymmetry specification for stock returns
Brännäs, Kurt; Nordman, Niklas - 2001
The paper advances the log-generalized gamma distribution as a suitable generator of conditional skewness. Based on the NYSE composite daily returns an asMA-asQGARCH model along with skewness dynamics is estimated. The results indicate a skewness that varies between sizeable negative skewness...
Persistent link: https://www.econbiz.de/10011398115
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A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing
Mehtab, Sidra; Sen, Jaydip - 2020
Prediction of future movement of stock prices has been a subject matter of many research work. There is a gamut of literature of technical analysis of stock prices where the objective is to identify patterns in stock price movements and derive profit from it. Improving the prediction accuracy...
Persistent link: https://www.econbiz.de/10014094821
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Go with the Flow : A GAS Model For Predicting Intra-Daily Volume Shares
Calvori, Francesco - 2013
The Volume Weighted Average Price (VWAP) mixes volumes and prices at intra-daily intervals and is a benchmark measure frequently used to evaluate a trader's performance. Under suitable assumptions, splitting a daily order according to ex-ante volume predictions is a good strategy to replicate...
Persistent link: https://www.econbiz.de/10013072136
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Evaluating density forecasts with an application to stock market returns
Raaij, Gabriela de; Raunig, Burkhard - 2002
Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...
Persistent link: https://www.econbiz.de/10011431370
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Volatility modeling for forecasting stock index with fixed parameter distributional assumption
Rahman, Md. Mostafizur; Rahman, Md. Azizur; Hossain, … - In: Journal of applied finance & banking 3 (2013) 1, pp. 109-122
The aim of this paper is to empirically investigate the in sample and out of sample forecasting performance of several GARCH-type models such as GARCH, EGARCH and APARCH model with Gaussian, student-t, Generalized error distribution (GED), student-t with fixed DOF 10 and GED with fixed parameter...
Persistent link: https://www.econbiz.de/10009741216
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Long memory persistence in the factor of Implied volatility dynamics
Härdle, Wolfgang (contributor); Mungo, Julius (contributor) - 2007
The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied … Volatility Surface (IVS). Practical applications require reducing the dimension and characterize its dynamics through a small … investigating long range dependence in the factor loadings series. Our result reveals that shocks to volatility persist for a very …
Persistent link: https://www.econbiz.de/10003633787
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Value-at-risk and expected shortfall when there is long range dependence
Härdle, Wolfgang (contributor); Mungo, Julius (contributor) - 2008
characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …
Persistent link: https://www.econbiz.de/10003636008