Impact of US Financial Crisis on GDP of BRICS Economies: An Analysis Using Panel Data Approach

Arora, Ashima; Kalsie, Anjala

doi:10.1177/0972150917713509

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Though some work has been done in that direction (e.g. Arora & Kalsie, 2018; Mukherjee & Bhaduri, 2015; Pati, 2017), but it is very insignificant given the growing importance of financial spillover effects.…”

Section: Limitations Contributions and Future Research Agendamentioning

confidence: 99%

Macroeconomic State Variables and Stock Market Performance: A Systematic Review and Future Research Agenda

Lone

Darzi

Bhat

2021

FIIB Business Review

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The current study presents a systematic review of macroeconomic risk factors and stock market performance under the broader theme of multi-factor asset pricing or the Arbitrage Pricing Theory (APT). Based on the review of relevant literature, the study summarizes key findings of different research works and identifies significant research gaps that need to be addressed by future research. It assesses the state of published work in the domain of asset pricing by systematically analyzing 116 research articles. The research works whose focal point has been asset pricing have been retrieved from leading databases and journals related to financial economics for the period 1976–2019. The study provides a comprehensive look at the conceptual, theoretical, and methodological (or empirical) developments and patterns prevalent at the aggregate level. The implications of the study hold key importance for academia or future researchers, policy-makers and most importantly the investors for guiding their investment decisions efficiently.

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Section: Limitations Contributions and Future Research Agendamentioning

confidence: 99%

Macroeconomic State Variables and Stock Market Performance: A Systematic Review and Future Research Agenda

Lone

Darzi

Bhat

2021

FIIB Business Review

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“…In future with improved availability of real time dataset for Indian economy, one can study the nowcasting models at frequency higher than monthly. Arora and Kalsie (2017) have studied the impact of US financial crisis on BRIC nations GDP. Hence future studies may include the international variables impacting the Indian GDP growth rate.…”

Section: Future Researchmentioning

confidence: 99%

Nowcasting Indian GDP in Real Time Using Factor Bridge Model and Factor VAR

Yadav

2019

Global Business Review

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Gross domestic product (GDP) is one of the key economic variables observed to assess the country’s overall economy. India is the third largest economy in the world but lagging in quality and timeliness of GDP reporting.1 The USA, UK, Euro zone and most of the developed countries have been providing better quality and timely information on GDP. Nowcasting is defined as estimation of very recent past, the immediate present and the very recent future (Giannone, Reichlin, & Small, 2008). Much of the work on GDP nowcasting uses pseudo real time data, whereas our research work has used a real time dataset for both the dependent and independent variables for nowcasting Indian GDP in real time. However, the real time datasets have issues of data revisions and biases, which have been handled in this article using a factor modelling approach with bridge model and vector auto regression model. We also explore the impact of within quarter new information flow and this will provide an opportunity to improve the nowcasting accuracy by using the most recent information.

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