VAR model
Modeling Monetary Transmission in Switzerland with a Structural Cointegrated VAR Model
... cointegrated VAR model for Switzerland comprising nominal M3, real gross domestic product (GDP), the GDP deflator and the government bond ...cointegrated VAR model for Switzerland but they do ...
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A Vector Auto Regressıve (VAR) Model for the Turkish Financial Markets
... (VAR) model is one of the most successful, flexible,and easy to use models for the analysis of multivariate time ...series. VAR models in economics were made popular by Sims ...autoregressive ...
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Agricultural Insurance and Agricultural Performance: An Application of the VAR model in China
... the model means analyzing how the variation in the date t of the innovation of a variable of interest is going to affect all the variables for periods t, t+1, t+2 …The VAR model allows to analyze the ...
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MODEL FOR MINIMUM AND MAXIMUM TEMPERATURE OF THE UPPER EAST REGION OF GHANA
... the VAR (3) model was fitted to the data after the parameters were estimated using R software based on the Lag selection for the model using the AIC, SIQ and ...of VAR model, to the ...
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Time Series Analysis and Forecast of GDP in Ethiopia: Evidence from Ethiopian Data
... the VAR model, the unit root tests (ADF tests), identification of the number of lags and cointegration analyses were ...using VAR (2) ...estimated model is good enough to describe the data ...
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The Contribution of the Education Sector to Economic Growth: Empirical Analysis from Tunisia
... Keywords: Educational policy, Human Capital, University massification, Economic Growth, VAR.. model.[r] ...
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LASSO vector autoregression structures for very short-term wind power forecasting
... (VAR) model using the Least Absolute Shrinkage and Selection Operator (LASSO) ...different VAR-LASSO variants and create a scalable forecasting method supported by parallel computing and fast ...
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Empirical Research on the Relationship between Scientific Innovation and Economic Growth in Beijing
... the VAR model should be established to reflect the short-term and long-term relationship among the vari- ables, and the lag order should be consistent with that of co-integration ...Unconstraint VAR ...
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Evidence on News Shocks under Information Deficiency
... noncausal VAR model I considered has a multiplicative form that may rule out cer- tain noncausal ...noninvertible model but provides a sufficiently accurate ...
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Var Bootstrap
... a VaR model is assessed statistically is by performing a backtest, which determines if the number of times VaR is exceeded is consis- tent with what is expected for the ...estimate VaR itself, ...
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PENGARUH PARIWISATA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA
... This study aims to determine the impact of tourism to economic growth in Indonesia during 1995 – 2000. Based on quarterly time series data and using VAR model, the study tries to analyze patterns of causal ...
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VALUE AT RISK WHEN DAILY CHANGES IN MARKET VARIABLES ARE NOT NORMALLY DISTRIBUTED John Hull and Alan White*
... In the last few years Value at Risk (VaR) has become a very popular risk management tool in many different types of organizations. There are a number of reasons for this. One is J.P. Morgan's decision in 1994 to ...
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Credit Rationing Effects of Credit Value-at-Risk
... microeconomic model of credit provisioning in case of asymmetric ...risk model based Value-at-Risk constraint when binding, distorts the operation of credit markets as it involves credit ...
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Simulated Credit VaR
... 1101 Thammasat Review Simulated Credit VaR Sayan Luangtrakulroong*l This paper aUempts to examine and analyze the effects of variations in different risk factors namely credit quality, portfolio diver[.] ...
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OM HUR EN BANKS VALUE AT RISK BÄST SKATTAS MED EXPECTED SHORTFALL
... Precis som tidigare forskning indikerar så tenderar VC, VC94 och HS att underskatta risken, dvs. ge upphov till orimligt många VaR-överskridelser med tanke på 99 %:snivån. I de allra flesta fall är det dessutom ...
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Analysis, programming and evaluation of calculation methods for Value-at-Risk involving risk-factor models with heavy tails
... It is known that normal distributions of asset returns is a key assumption made by many financial models, including the capital asset pricing model (CAPM) and the Black-Scholes option pricing model (BSM). ...
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Portfolio Credit Risk
... based on the distance between the current value of the assets and the book value of the liabilities. Suppose that the current value of a firm’s assets and the book value of its liabilities are $500M and $300M, ...
150
IS VALUE-AT-RISK (VAR) A FAIR PROXY FOR MARKET RISK UNDER CONDITIONS OF MARKET LEVERAGE?
... Microsoft TM Excel and Perpetual TM Market Data for the British Pound, Japanese Yen, and Swiss Franc futures markets from September 6, 1973 to September 26, 2000 were used to backtest RiskMetrics. Intraday violations of ...
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Forecasting in vector autoregressions with many predictors
... These reasons justify the current trend in applied modeling with large datasets. The modern econometrician has tools adequate enough to successfully extract information from hundreds of predictor variables and compute ...
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BIS Working Papers No 165 Stress-testing financial systems: an overview of current methodologies
... Macroeconometric Model to include relationships between write-off rates and liquidation rates for the corporate sector and between write-off rates and the proportion of credit card debt in arrears for the ...
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