VaR based on SMA, EWMA and GARCH(1,1) Volatility models: Modelling and Forecasting the Volatility of Thin Emerging Stock Markets using different models: A case of former Yugoslavian states

 
9783639315332: VaR based on SMA, EWMA and GARCH(1,1) Volatility models: Modelling and Forecasting the Volatility of Thin Emerging Stock Markets using different models: A case of former Yugoslavian states

Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0,9, 0,94 (proposed by Risk Metrics) and 0,96 as smoothing constant ? and different windows of 50, 74 and 100 days, and GARCH(1,1). VaR models are calculated for a one-day holding period at 95% and 99% coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk.

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About the Author:

Julijana Angelovska is PhD of economic sciences, After years working in government service, became a successful manager of the brokerage house. The subject of research interests are financial markets, stock exchanges and statistical methods for business and economics. Today is actively engaged in education and research activities in these areas.

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Book Description Book Condition: New. Publisher/Verlag: VDM Verlag Dr. Müller | Modelling and Forecasting the Volatility of Thin Emerging Stock Markets using different models: A case of former Yugoslavian states | Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0,9, 0,94 (proposed by Risk Metrics) and 0,96 as smoothing constant and different windows of 50, 74 and 100 days, and GARCH(1,1). VaR models are calculated for a one-day holding period at 95% and 99% coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk. | Format: Paperback | Language/Sprache: english | 64 pp. Bookseller Inventory # K9783639315332

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Book Description VDM Verlag Dez 2010, 2010. Taschenbuch. Book Condition: Neu. Neuware - Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0,9, 0,94 (proposed by Risk Metrics) and 0,96 as smoothing constant and different windows of 50, 74 and 100 days, and GARCH(1,1). VaR models are calculated for a one-day holding period at 95% and 99% coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk. 64 pp. Englisch. Bookseller Inventory # 9783639315332

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Book Description VDM Verlag Dez 2010, 2010. Taschenbuch. Book Condition: Neu. Neuware - Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0,9, 0,94 (proposed by Risk Metrics) and 0,96 as smoothing constant and different windows of 50, 74 and 100 days, and GARCH(1,1). VaR models are calculated for a one-day holding period at 95% and 99% coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk. 64 pp. Englisch. Bookseller Inventory # 9783639315332

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Book Description VDM Verlag. Paperback. Book Condition: New. Paperback. 64 pages. Dimensions: 8.7in. x 5.9in. x 0.1in.Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0, 9, 0, 94 (proposed by Risk Metrics) and 0, 96 as smoothing constant and different windows of 50, 74 and 100 days, and GARCH(1, 1). VaR models are calculated for a one-day holding period at 95 and 99 coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783639315332

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Book Description VDM Verlag, Germany, 2010. Paperback. Book Condition: New. Language: English . Brand New Book. Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0,9, 0,94 (proposed by Risk Metrics) and 0,96 as smoothing constant and different windows of 50, 74 and 100 days, and GARCH(1,1). VaR models are calculated for a one-day holding period at 95 and 99 coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk. Bookseller Inventory # KNV9783639315332

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Book Description VDM Verlag Dez 2010, 2010. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand Neuware - Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0,9, 0,94 (proposed by Risk Metrics) and 0,96 as smoothing constant and different windows of 50, 74 and 100 days, and GARCH(1,1). VaR models are calculated for a one-day holding period at 95% and 99% coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk. 64 pp. Englisch. Bookseller Inventory # 9783639315332

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