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Arvind Mahajan

Researcher at Texas A&M University

Publications -  34
Citations -  882

Arvind Mahajan is an academic researcher from Texas A&M University. The author has contributed to research in topics: Foreign exchange risk & Exchange rate. The author has an hindex of 12, co-authored 30 publications receiving 851 citations. Previous affiliations of Arvind Mahajan include Manufacturers Hanover Corporation.

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Cost structures in multinational and domestic banking

TL;DR: In this article, the authors analyzed the ray and expansion path scale economies of U.S. based multinational banks, both at the firm and plant levels, and measured and analyzed inefficiencies for these banks.
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A future global economy to be built by BRICs

TL;DR: The combined economies of Brazil, Russia, India and China (BRICs) appear likely to become the largest global economic group by the middle of this century as mentioned in this paper, and the relative difficulty of doing business within each country and how this, combined with a lack of long-term conditions to promote growth, affects the potential of these markets to lead the future world economy.
Posted Content

Equity Market Timing and Capital Structure: International Evidence

TL;DR: In this article, the authors investigate the equity market timing hypothesis of capital structure in major industrialized (G-7) countries and find that leverage of firms is negatively related to the historical market-to-book ratio in all G-7 counties.
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Equity market timing and capital structure: International evidence

TL;DR: In this article, the authors investigate the equity market timing hypothesis of capital structure in major industrialized (G-7) countries and find that leverage of firms is negatively related to the historical market-to-book ratio in all G-7 countries.
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International Arbitrage Pricing Theory: An Empirical Investigation

TL;DR: The International Arbitrage Pricing Theory (IAPT) as discussed by the authors is a testable alternative to the CAPM model, where the assumption is that m unobservable factors drive the security prices through time.