scispace - formally typeset
V

Victor Murinde

Researcher at SOAS, University of London

Publications -  140
Citations -  4441

Victor Murinde is an academic researcher from SOAS, University of London. The author has contributed to research in topics: Corporate finance & Indirect finance. The author has an hindex of 33, co-authored 133 publications receiving 3926 citations. Previous affiliations of Victor Murinde include University of Manchester & University of Birmingham.

Papers
More filters
Journal ArticleDOI

Exchange rate and stock price interactions in emerging financial markets: evidence on India, Korea, Pakistan and the Philippines

TL;DR: In this paper, the authors investigated the relationship between exchange rates and stock prices in the emerging financial markets of India, Korea, Pakistan and the Philippines, and found unidirectional causality from exchange rates to stock prices.
BookDOI

Finance and Development

TL;DR: In this paper, a distinguished group of authors takes stock of the existing state of knowledge in the field of finance and the development process, and each chapter offers a comprehensive survey and synthesis of current issues.
Journal ArticleDOI

Competitive conditions among the major British banks

TL;DR: In this paper, the authors report an empirical assessment of competitive conditions among the major British banks, during a period of major structural change, and confirm the consensus finding that competition in British banking is most accurately characterised by the theoretical model of monopolistic competition.
Journal ArticleDOI

Capital flight and political risk

TL;DR: This paper examined the relationship between political risk and capital flight for a large set of developing countries and found that in most cases political risk variables do have a statistically robust relationship to capital flight once domestic and international macroeconomic circumstances are added.
Posted Content

Capital flight and political risk

TL;DR: In this paper, a two-state Markov switching model is employed to model both recessions and expansions for the United States and Germany, and strong evidence is found that monetary policy is more effective in a recession than during a boom.