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ARDL bounds tests and robust inference for the long run relationship between real stock returns and inflation in Australia
Rushdi, Mustabshira; Kim, Jae H.; Silvapulle, Paramsothy - In: Economic modelling 29 (2012) 3, pp. 535-543
Persistent link: https://www.econbiz.de/10009544884
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A semiparametric approach to value-at-risk, expected shortfall and optimum asset allocation in stock-bond portfolios
Chen, Xiangjin B.; Silvapulle, Paramsothy; Silvapulle, … - In: Economic modelling 42 (2014), pp. 230-242
Persistent link: https://www.econbiz.de/10010478162
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Determinants of sovereign bond yield spreads and contagion in the peripheral EU countries
Silvapulle, Paramsothy; Fenech, Jean Pierre; Thomasa, Alice - In: Economic modelling 58 (2016), pp. 83-92
Persistent link: https://www.econbiz.de/10011647047
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Testing linear regression model with AR(1) errors against a first-order dynamic linear regression model with white noise errors : a point optimal testing approach
Sriananthakumar, Sivagowry - In: Economic modelling 33 (2013), pp. 126-136
Persistent link: https://www.econbiz.de/10010192022
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Testing linear regression model with AR(1) errors against a first-order dynamic linear regression model with white noise errors: A point optimal testing approach
Sriananthakumar, Sivagowry - In: Economic modelling 33 (2013), pp. 126-136
Persistent link: https://www.econbiz.de/10010161366
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Approximate Non-Similar critical values based tests vs Maximized Monte Carlo tests
Sriananthakumar, Sivagowry - In: Economic modelling 49 (2015), pp. 387-394
Persistent link: https://www.econbiz.de/10011439597
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A comparison of the accuracy of asymptotic approximations in the dynamic regression model using Kullback-Leibler information
Atukorala, Ranjani; Sriananthakumar, Sivagowry - In: Economic modelling 45 (2015), pp. 169-174
Persistent link: https://www.econbiz.de/10011334130
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ARDL bounds tests and robust inference for the long run relationship between real stock returns and inflation in Australia
Rushdi, Mustabshira; Kim, Jae H.; Silvapulle, Param - In: Economic modelling 29 (2012) 3, pp. 535-544
Persistent link: https://www.econbiz.de/10009848527