Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarks
Most Australian domestic investors rely on fund managers, and in India, this is not the same as they are primarily in direct investment rather than indirect. The study attempts to investigate the causal relationship between the returns of the standard indices, namely BSE500 and ASX300, and customize...
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doaj-2625b6b2987c4d2b83c748ae8d6670842020-11-25T03:42:12ZengLLC "CPC "Business Perspectives"Investment Management & Financial Innovations 1810-49671812-93582020-09-0117323124510.21511/imfi.17(3).2020.1814014Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarksB. R. Manjunath0https://orcid.org/0000-0002-5773-748XJ. K. Raju1https://orcid.org/0000-0002-3130-669XM. Rehaman2https://orcid.org/0000-0003-1532-7738Associate Professor of Finance and Analytics, Kirloskar Institute of Advanced Management Studies (KIAMS), Harihar Professor, Institute of Management Studies, Davangere UniversityOperations Analysis Analyst, IHS Markit, BangaloreMost Australian domestic investors rely on fund managers, and in India, this is not the same as they are primarily in direct investment rather than indirect. The study attempts to investigate the causal relationship between the returns of the standard indices, namely BSE500 and ASX300, and customized indices, MIMF and MAMF, for both India and Australia. The study uses econometric tools and techniques such as unit root test, vector error correction model, Wald test, Johansen co-integration, and model efficacy assumptions on the historical closing NAV of the selected mutual fund schemes for the period from April 2008 to March 2018. The econometric investigation using Johansen’s Co-Integration test confirmed the co-integration between BSE500, ASX300 and customized indices. Empirical evidence suggests that the Australian customized MAMF index is not Granger-caused by the Indian customized index MIMF, and therefore the MIMF index value cannot be used to predict the future rate of index MAMF returns, and vice versa.https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/14014/IMFI_2020_03_Manjunath.pdfCointegrationGranger causalityUnit rootVector Error Correction ModelWald test |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
B. R. Manjunath J. K. Raju M. Rehaman |
spellingShingle |
B. R. Manjunath J. K. Raju M. Rehaman Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarks Investment Management & Financial Innovations Cointegration Granger causality Unit root Vector Error Correction Model Wald test |
author_facet |
B. R. Manjunath J. K. Raju M. Rehaman |
author_sort |
B. R. Manjunath |
title |
Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarks |
title_short |
Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarks |
title_full |
Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarks |
title_fullStr |
Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarks |
title_full_unstemmed |
Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarks |
title_sort |
testing of causality relationship between indian and australian mutual funds performance: standard vs customized benchmarks |
publisher |
LLC "CPC "Business Perspectives" |
series |
Investment Management & Financial Innovations |
issn |
1810-4967 1812-9358 |
publishDate |
2020-09-01 |
description |
Most Australian domestic investors rely on fund managers, and in India, this is not the same as they are primarily in direct investment rather than indirect. The study attempts to investigate the causal relationship between the returns of the standard indices, namely BSE500 and ASX300, and customized indices, MIMF and MAMF, for both India and Australia. The study uses econometric tools and techniques such as unit root test, vector error correction model, Wald test, Johansen co-integration, and model efficacy assumptions on the historical closing NAV of the selected mutual fund schemes for the period from April 2008 to March 2018. The econometric investigation using Johansen’s Co-Integration test confirmed the co-integration between BSE500, ASX300 and customized indices. Empirical evidence suggests that the Australian customized MAMF index is not Granger-caused by the Indian customized index MIMF, and therefore the MIMF index value cannot be used to predict the future rate of index MAMF returns, and vice versa. |
topic |
Cointegration Granger causality Unit root Vector Error Correction Model Wald test |
url |
https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/14014/IMFI_2020_03_Manjunath.pdf |
work_keys_str_mv |
AT brmanjunath testingofcausalityrelationshipbetweenindianandaustralianmutualfundsperformancestandardvscustomizedbenchmarks AT jkraju testingofcausalityrelationshipbetweenindianandaustralianmutualfundsperformancestandardvscustomizedbenchmarks AT mrehaman testingofcausalityrelationshipbetweenindianandaustralianmutualfundsperformancestandardvscustomizedbenchmarks |
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1724526594202009600 |