937 resultados para Behavioral corporate finance


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The hospitality industry (especially the restaurant segment) has a historically high rate of financial failures. Yet, financial failure in the industry has not received the attention it deserves. In this article, the authors identify basic reasons underlying failed ideas while presenting a study of several hospitality chains that have experienced varying degrees of financial failure. The characteristics and pitfalls of these companies provide the necessary groundwork to explore major lessons to be learned which should aid hospitality management to aviod future business failures.

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This paper studies the relative importance of individual inventors’ human capital and firms’ organizational capital in promoting a firm’s innovation output. We decompose the variation in innovation output into inventor- and firm-specific components. Inventors’ human capital is about 13 times as important as firms’ organizational capital in explaining a firm’s innovation performance in terms of patent counts and citations, while inventors’ human capital is only about the same as important when explaining the firm’s innovation styles in terms of patent exploratory and exploitive scores. In the cross section, inventors contribute more to innovation output when they are better networked, in firms with higher inventor mobility, in industries in which innovation is more difficult to achieve, and in publicly traded firms. Additional tests suggest that our main findings continue to hold after accounting for inventors’ endogenous moving. This paper highlights the importance of individual inventors in enhancing firm innovation and sheds new light on the theory of the firm.

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One of the most disputable matters in the theory of finance has been the theory of capital structure. The seminal contributions of Modigliani and Miller (1958, 1963) gave rise to a multitude of studies and debates. Since the initial spark, the financial literature has offered two competing theories of financing decision: the trade-off theory and the pecking order theory. The trade-off theory suggests that firms have an optimal capital structure balancing the benefits and costs of debt. The pecking order theory approaches the firm capital structure from information asymmetry perspective and assumes a hierarchy of financing, with firms using first internal funds, followed by debt and as a last resort equity. This thesis analyses the trade-off and pecking order theories and their predictions on a panel data consisting 78 Finnish firms listed on the OMX Helsinki stock exchange. Estimations are performed for the period 2003–2012. The data is collected from Datastream system and consists of financial statement data. A number of capital structure characteristics are identified: firm size, profitability, firm growth opportunities, risk, asset tangibility and taxes, speed of adjustment and financial deficit. A regression analysis is used to examine the effects of the firm characteristics on capitals structure. The regression models were formed based on the relevant theories. The general capital structure model is estimated with fixed effects estimator. Additionally, dynamic models play an important role in several areas of corporate finance, but with the combination of fixed effects and lagged dependent variables the model estimation is more complicated. A dynamic partial adjustment model is estimated using Arellano and Bond (1991) first-differencing generalized method of moments, the ordinary least squares and fixed effects estimators. The results for Finnish listed firms show support for the predictions of profitability, firm size and non-debt tax shields. However, no conclusive support for the pecking-order theory is found. However, the effect of pecking order cannot be fully ignored and it is concluded that instead of being substitutes the trade-off and pecking order theory appear to complement each other. For the partial adjustment model the results show that Finnish listed firms adjust towards their target capital structure with a speed of 29% a year using book debt ratio.

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A Tradução Técnica: análise e proposta de tradução de extrato de livro em finanças corporativas Tradução e análise de um texto em inglês para português do Brasil, este trabalho dedica-se, primeiramente, à apresentação de questões genéricas relacionadas à tradução(a saber, a intraduzibilidade do texto), para, em seguinda, se debruçar sobre questões ligadas à tradução especializada: fiabilidade, padronização e validação. Após esse preâmbulo, discorrese acerca dos elementos presentes no texto de partida que mereceram um maior cuidado ao longo do processo de tradução. A isso se segue a tradução dos primeiros 4 (quatro) capítulos do livro Finance for Managers, do professor Eduardo Martínez Abascal, que constitui o corpus deste trabalho; Abstract: The Technical Translation: analysis and translation of an excerpt from a Corporate Finance book. In broad terms, this dissertation comprises the translation of a text from English into Brazilian Portuguese followed by a commentary which examines the translation process. After a short introduction discussing general translation-related issues, it will be time to introduce the reader to a few words on the translation decisions made throughout the entire work. The following section will be dedicated to the translation of a text on Corporate Finance, namely the first 4 (four) chapters from the book Finance for Managers, by Professor Eduardo Martínez Abascal.

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A plethora of recent literature on asset pricing provides plenty of empirical evidence on the importance of liquidity, governance and adverse selection of equity on pricing of assets together with more traditional factors such as market beta and the Fama-French factors. However, literature has usually stressed that these factors are priced individually. In this dissertation we argue that these factors may be related to each other, hence not only individual but also joint tests of their significance is called for. In the three related essays, we examine the liquidity premium in the context of the finer three-digit SIC industry classification, joint importance of liquidity and governance factors as well as governance and adverse selection. Recent studies by Core, Guay and Rusticus (2006) and Ben-Rephael, Kadan and Wohl (2010) find that governance and liquidity premiums are dwindling in the last few years. One reason could be that liquidity is very unevenly distributed across industries. This could affect the interpretation of prior liquidity studies. Thus, in the first chapter we analyze the relation of industry clustering and liquidity risk following a finer industry classification suggested by Johnson, Moorman and Sorescu (2009). In the second chapter, we examine the dwindling influence of the governance factor if taken simultaneously with liquidity. We argue that this happens since governance characteristics are potentially a proxy for information asymmetry that may be better captured by market liquidity of a company’s shares. Hence, we jointly examine both the factors, namely, governance and liquidity – in a series of standard asset pricing tests. Our results reconfirm the importance of governance and liquidity in explaining stock returns thus independently corroborating the findings of Amihud (2002) and Gompers, Ishii and Metrick (2003). Moreover, governance is not subsumed by liquidity. Lastly, we analyze the relation of governance and adverse selection, and again corroborate previous findings of a priced governance factor. Furthermore, we ascertain the importance of microstructure measures in asset pricing by employing Huang and Stoll’s (1997) method to extract an adverse selection variable and finding evidence for its explanatory power in four-factor regressions.

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Banks are often excluded in corporate finance research mainly because of the regulatory concerns. Compares to non-bank firms, banks are heavily regulated due to its special economic role of money and the uncertainty. Heavy regulation on banks could reduce the information asymmetry between the managers and investor by limiting the behaviour of banks at the time of the Seasoned Equity Offering (SEO), and by increasing the incentive for banks to avoid excessive risk-taking. Therefore, the market may be less likely to assume that bank issued securities signal information that the bank is overvalued compared to their non-bank counterparts. The objective of this thesis is therefore to examine commercial banks issued securities announcement effect. Three interrelated research questions are addressed in this thesis: 1) What is the difference in convertible bond announcement effect between banks and non-banks firm? 2) What is the difference in SEO announcement effect between banks and non-banks? 3) How do the stringency levels of bank regulation impact on the announcement effects of bank issued SEO? By using the U.S. convertible bond and SEO data from 1982 to 2012, I find that the bank issued a convertible bond and SEO announcement experience higher cumulative abnormal return than non-bank. This is consistent with the view that bank regulation reveals positive information about banks. Since banks are heavily regulated, the market is less likely to assume that the issuance of the convertible bond and SEO by banks signals information that is overvalued. These results are robust after controlling for a number of firm-, issue-, and market-specific characteristics. These results are robust by considering the different categories of non-bank industries by undertaking tests in relation to the differences in the CARS upon convertible bond/ SEO across industries, as well as the unbalanced sample between banks and non-banks by using the matched sample analysis. However, the relation between the stringency level of bank regulation and bank issued securities announcement effect may be nonlinear. As hypothesised, I find that bank regulation has an inverted U-shaped relation with the announcement effect of bank SEO by using the SEO data across 21 countries from 2001 to 2012. Under a less bank regulation environment, the market reacts more positively to the bank SEO announcement for an increase in the level of bank regulation. However, the bank SEO announcement effects become more negative if the bank regulation becomes too stringent. This inverted U-shaped relationship is robust after I use the exogenous cross-country, cross-year variation in the timing of the Basel II adoption as the instrument to assess the causal impact of bank regulation on SEO announcement effects. However, the stringency of regulation does not have a significant impact on the announcement effects of involuntary bank equity issuance.

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La presente investigación consiste en determinar las aplicaciones existentes de las teorías del caos y las teorías de la complejidad en la cadena de suministro del sector agroindustrial colombiano. Además, tiene como propósito describir el sector de la agroindustria y la cadena de suministro, identificar los modelos de caos y complejidad y posteriormente determinar cuáles de éstos son aplicables al sector. Se define el caos como una sub-disciplina de las matemáticas que estudia sistemas complejos o dinámicos y tiene inmerso implicaciones filosóficas; por otra parte complejidad es la cualidad que adquiere un sistema en el que hay diversos componentes relacionados. Se ha identificado que en el ámbito colombiano existen diferentes estudios enfocados en la construcción de modelos agroindustriales, donde se adopta el concepto de complejidad para calificar el atributo de dichos modelos que involucran la armonización e integración de diferentes actores, desde los productores hasta los consumidores. En este estudio se emplea un estudio monográfico de tipo documental teniendo como unidad de análisis la cadena de suministro del sector agroindustrial. Los resultados indican que las teorías del caos y complejidad se encuentran presentes dentro de la cadena de suministros del sector agroindustrial colombiano, ya que en ella se ocurre la interconexión entre productores, procesadores y comercializadores, interactuando entre ellos y presentando alteraciones en su comportamiento económico a lo largo del tiempo en función de variaciones de las condiciones iniciales influenciadas por variables macroeconómicas, ambientales, sociales y políticas.

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We review accounting and finance research on corporate governance (CG). In the course of our review, we focus on a particularly vexing issue, namely endogeneity in the relationships between CG and other matters of concern to accounting and finance scholars, and suggest ways to deal with it. Given the advent of large commercial CG databases, we also stress the importance of how CG is measured and in particular, the construction of CG indices, which should be sensitive to local institutional arrangements, and the need to capture both internal and external aspects of governance. The ‘stickiness’ of CG characteristics provides an additional challenge to CG scholars. Better theory is required, for example, to explain whether various CG practices substitute for each other or are complements. While a multidisciplinary approach to developing better theory is never without its difficulties, it could enrich the current body of knowledge in CG. Despite the vastness of the existing CG literature, these issues do suggest a number of avenues for future research.

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Seit Etablierung der ersten Börsen als Marktplatz für fungible Güter sind Marktteilnehmer und die Wissenschaft bemüht, Erklärungen für das Zustandekommen von Marktpreisen zu finden. Im Laufe der Zeit wurden diverse Modelle entwickelt. Allen voran ist das neoklassische Capital Asset Pricing Modell (CAPM) zu nennen. Die Neoklassik sieht den Akteur an den Finanzmärkten als emotionslosen und streng rationalen Entscheider, dem sog. homo oeconomicus. Psychologische Einflussfaktoren bei der Preisbildung bleiben unbeachtet. Mit der Behavioral Finance hat sich ein neuer Zweig zur Erklärung von Börsenkursen und deren Bewegungen entwickelt. Die Behavioral Finance sprengt die enge Sichtweise der Neoklassik und geht davon aus, dass psychologische Effekte die Entscheidung der Finanzakteure beeinflussen und dabei zu teilweise irrational und emotional geprägten Kursänderungen führen. Eines der Hauptprobleme der Behavioral Finance liegt allerdings in der fehlenden formellen Ermittelbarkeit und Testbarkeit der einzelnen psychologischen Effekte. Anders als beim CAPM, wo die einzelnen Parameter klar mathematisch bestimmbar sind, besteht die Behavioral Finance im Wesentlichen aus psychologischen Definitionen von kursbeeinflussenden Effekten. Die genaue Wirkrichtung und Intensität der Effekte kann, mangels geeigneter Modelle, nicht ermittelt werden. Ziel der Arbeit ist es, eine Abwandlung des CAPM zu ermitteln, die es ermöglicht, neoklassische Annahmen durch die Erkenntnisse des Behavioral Finance zu ergänzen. Mittels der technischen Analyse von Marktpreisen wird versucht die Effekte der Behavioral Finance formell darstellbar und berechenbar zu machen. Von Praktikern wird die technische Analyse dazu verwendet, aus Kursverläufen die Stimmungen und Intentionen der Marktteilnehmer abzuleiten. Eine wissenschaftliche Fundierung ist bislang unterblieben. Ausgehend von den Erkenntnissen der Behavioral Finance und der technischen Analyse wird das klassische CAPM um psychologische Faktoren ergänzt, indem ein Multi-Beta-CAPM (Behavioral-Finance-CAPM) definiert wird, in das psychologisch fundierte Parameter der technischen Analyse einfließen. In Anlehnung an den CAPM-Test von FAMA und FRENCH (1992) werden das klassische CAPM und das Behavioral-Finance-CAPM getestet und der psychologische Erklärungsgehalt der technischen Analyse untersucht. Im Untersuchungszeitraum kann dem Behavioral-Finance-CAPM ein deutlich höherer Erklärungsgehalt gegenüber dem klassischen CAPM zugesprochen werden.

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Financial decision making mechanisms have not been identified. Using event-related fMRI without MR compatible switch which can be performed by all MRI system which has only Echo Planar Imaging (EPI) feature, we examined financial decision-making task with three risk levels in two participants. We saw activation regions differences between risk-seeking and risk-aversion selection in addition to larger activated regions in selection funding in comparison with no selection. Thus, consideration of anticipatory neural mechanisms may add predictive power for economic decision- making.

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This article is the second of a two-part series on the efficient market hypothesis corporate event waves. The ideas of market efficiency, or rational theory, and the behavioral hypothesis have been extensively used to explain the modern phenomena of corporate event waves. Some studies investigate the patterns of corporate events from a behavioral finance perspective and suggest that corporate announcement waves are driven by investor sentiment. Baker and Wurgler examine equity market timing as an aspect of real corporate financial policy. Sentiment can also explain IPO waves. Post-announcement returns and IPO volume are positively correlated to firms' capital demands and the level of investor optimism. Helwge and Liang examine the IPO cycles from hot to cold markets from 1975 to 2000. Corporate e vent wave scan also be explained by the neoclassical efficiency hypothesis, proposing that business cycle fluctuations and economic conditions drive firms' decisions on financing transactions.

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Research was conducted in order to define a "buyer behavior" process for the purchase of sponsorship at a corporate level. A series of interviews was carried out with a number of organizations that are currently involved in sponsorship of varying kinds. A consideration was made to include a balance of sponsorship types-small and large-as well as arts, sports, and events, although no attempt was made to identify how the process differs across sponsorship type. Our results show that while sponsorship and fundraising are flipsides of the same coin from the nonprofit sponsorship-seeker's perspective, the sponsorship provider sees the act of sponsorship as a commercial profit-making venture. This is a conundrum that has wide-reaching consequences for the sector. © 2012 Copyright Taylor and Francis Group, LLC.