Asymmetric Information and the Market Structure of the Banking Industry

Asymmetric Information and the Market Structure of the Banking Industry

Author: Mr.Giovanni Dell'Ariccia

Publisher: International Monetary Fund

Published: 1998-06-01

Total Pages: 32

ISBN-13: 145195154X

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The paper analyzes the effects of informational asymmetries on the market structure of the banking industry in a multi-period model of spatial competition. All lenders face uncertainty with regard to borrowers’ creditworthiness, but, in the process of lending, incumbent banks gather proprietary information about their clients, acquiring an advantage over potential entrants. These informational asymmetries are an important determinant of the industry structure and may represent a barrier to entry for new banks. The paper shows that, in contrast with traditional models of horizontal differentiation, the steady-state equilibrium is characterized by a finite number of banks even in the absence of fixed costs.


Asset Pricing Under Asymmetric Information

Asset Pricing Under Asymmetric Information

Author: Markus Konrad Brunnermeier

Publisher: Oxford University Press, USA

Published: 2001

Total Pages: 264

ISBN-13: 9780198296980

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The role of information is central to the academic debate on finance. This book provides a detailed, current survey of theoretical research into the effect on stock prices of the distribution of information, comparing and contrasting major models. It examines theoretical models that explain bubbles, technical analysis, and herding behavior. It also provides rational explanations for stock market crashes. Analyzing the implications of asymmetries in information is crucial in this area. This book provides a useful survey for graduate students.


Stock Market Volatility

Stock Market Volatility

Author: Greg N. Gregoriou

Publisher: CRC Press

Published: 2009-04-08

Total Pages: 654

ISBN-13: 1420099558

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Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel


Market-Share Analysis

Market-Share Analysis

Author: Lee G. Cooper

Publisher: Springer

Published: 2011-10-17

Total Pages: 304

ISBN-13: 9789400926820

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Foreword In April1971, Los Angeles and its satellite cities were treated to one of its least interesting and least publicized elections in years. Nothing seemed to be hotly contested. A few Los Angeles city councilmen were up for reelection as were some members of the Board of Ed ucation and the Board of Trustees of the Community Colleges. - Nakanishi, Cooper and Kassarjian [1974] Our colleague, Professor Harold H. Kassarjian, ran for one of the seats on the Board of Trustees and received 17,286 votes. While he lost the election, he had collected the data which he felt characterized voting in such /ow-invo/vement cases. He asked us to join him in writing a follow-up to a study of a similar election which had been published the previous faU in Public Opinion Quarter/y. Neither of us was content with the methods and models used in the prior study. Shares are different than other criteria, be they vote shares, market shares or retail stores' shares of customers. Different methods are needed to reflect their special nature. And thus began a research collaboration, running 17 years, so far. Though our combined research efforts have covered diverse areas of consumer choice behavior, in recent years we carne to the realization that our models and analytical methods might be very profitably employed in the analysis of market-share figures for consumer products.


Building Models for Marketing Decisions

Building Models for Marketing Decisions

Author: Peter S.H. Leeflang

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 642

ISBN-13: 146154050X

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This book is about marketing models and the process of model building. Our primary focus is on models that can be used by managers to support marketing decisions. It has long been known that simple models usually outperform judgments in predicting outcomes in a wide variety of contexts. For example, models of judgments tend to provide better forecasts of the outcomes than the judgments themselves (because the model eliminates the noise in judgments). And since judgments never fully reflect the complexities of the many forces that influence outcomes, it is easy to see why models of actual outcomes should be very attractive to (marketing) decision makers. Thus, appropriately constructed models can provide insights about structural relations between marketing variables. Since models explicate the relations, both the process of model building and the model that ultimately results can improve the quality of marketing decisions. Managers often use rules of thumb for decisions. For example, a brand manager will have defined a specific set of alternative brands as the competitive set within a product category. Usually this set is based on perceived similarities in brand characteristics, advertising messages, etc. If a new marketing initiative occurs for one of the other brands, the brand manager will have a strong inclination to react. The reaction is partly based on the manager's desire to maintain some competitive parity in the mar keting variables.


Market Response Models

Market Response Models

Author: Dominique M. Hanssens

Publisher: Springer Science & Business Media

Published: 2005-12-19

Total Pages: 507

ISBN-13: 0306475944

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From 1976 to the beginning of the millennium—covering the quarter-century life span of this book and its predecessor—something remarkable has happened to market response research: it has become practice. Academics who teach in professional fields, like we do, dream of such things. Imagine the satisfaction of knowing that your work has been incorporated into the decision-making routine of brand managers, that category management relies on techniques you developed, that marketing management believes in something you struggled to establish in their minds. It’s not just us that we are talking about. This pride must be shared by all of the researchers who pioneered the simple concept that the determinants of sales could be found if someone just looked for them. Of course, economists had always studied demand. But the project of extending demand analysis would fall to marketing researchers, now called marketing scientists for good reason, who saw that in reality the marketing mix was more than price; it was advertising, sales force effort, distribution, promotion, and every other decision variable that potentially affected sales. The bibliography of this book supports the notion that the academic research in marketing led the way. The journey was difficult, sometimes halting, but ultimately market response research advanced and then insinuated itself into the fabric of modern management.


Asymmetric Information, Corporate Finance, and Investment

Asymmetric Information, Corporate Finance, and Investment

Author: R. Glenn Hubbard

Publisher: University of Chicago Press

Published: 2009-05-15

Total Pages: 354

ISBN-13: 0226355942

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In this volume, specialists from traditionally separate areas in economics and finance investigate issues at the conjunction of their fields. They argue that financial decisions of the firm can affect real economic activity—and this is true for enough firms and consumers to have significant aggregate economic effects. They demonstrate that important differences—asymmetries—in access to information between "borrowers" and "lenders" ("insiders" and "outsiders") in financial transactions affect investment decisions of firms and the organization of financial markets. The original research emphasizes the role of information problems in explaining empirically important links between internal finance and investment, as well as their role in accounting for observed variations in mechanisms for corporate control.


Asymmetric Dependence in Finance

Asymmetric Dependence in Finance

Author: Jamie Alcock

Publisher: John Wiley & Sons

Published: 2018-06-05

Total Pages: 312

ISBN-13: 1119289017

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Avoid downturn vulnerability by managing correlation dependency Asymmetric Dependence in Finance examines the risks and benefits of asset correlation, and provides effective strategies for more profitable portfolio management. Beginning with a thorough explanation of the extent and nature of asymmetric dependence in the financial markets, this book delves into the practical measures fund managers and investors can implement to boost fund performance. From managing asymmetric dependence using Copulas, to mitigating asymmetric dependence risk in real estate, credit and CTA markets, the discussion presents a coherent survey of the state-of-the-art tools available for measuring and managing this difficult but critical issue. Many funds suffered significant losses during recent downturns, despite having a seemingly well-diversified portfolio. Empirical evidence shows that the relation between assets is much richer than previously thought, and correlation between returns is dependent on the state of the market; this book explains this asymmetric dependence and provides authoritative guidance on mitigating the risks. Examine an options-based approach to limiting your portfolio's downside risk Manage asymmetric dependence in larger portfolios and alternate asset classes Get up to speed on alternative portfolio performance management methods Improve fund performance by applying appropriate models and quantitative techniques Correlations between assets increase markedly during market downturns, leading to diversification failure at the very moment it is needed most. The 2008 Global Financial Crisis and the 2006 hedge-fund crisis provide vivid examples, and many investors still bear the scars of heavy losses from their well-managed, well-diversified portfolios. Asymmetric Dependence in Finance shows you what went wrong, and how it can be corrected and managed before the next big threat using the latest methods and models from leading research in quantitative finance.