969 resultados para dynamic adverse selection
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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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This paper studies cost-sharing rules under dynamic adverse selection. We present a typical principal-agent model with two periods, set up in Laffont and Tirole's (1986) canonical regulation environment. At first, when the contract is signed, the firm has prior uncertainty about its efficiency parameter. In the second period, the firm learns its efficiency and chooses the level of cost-reducing effort. The optimal mechanism sequentially screens the firm's types and achieves a higher level of welfare than its static counterpart. The contract is indirectly implemented by a sequence of transfers, consisting of a fixed advance payment based on the reported cost estimate, and an ex-post compensation linear in cost performance.
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Summary Throughout my thesis, I elaborate on how real and financing frictions affect corporate decision making under uncertainty, and I explore how firms time their investment and financing decisions given such frictions. While the macroeconomics literature has focused on the impact of real frictions on investment decisions assuming all equity financed firms, the financial economics literature has mainly focused on the study of financing frictions. My thesis therefore assesses the join interaction of real and financing frictions in firms' dynamic investment and financing decisions. My work provides a rationale for the documented poor empirical performance of neoclassical investment models based on the joint effect of real and financing frictions on investment. A major observation relies in how the infrequency of corporate decisions may affect standard empirical tests. My thesis suggests that the book to market sorts commonly used in the empirical asset pricing literature have economic content, as they control for the lumpiness in firms' optimal investment policies. My work also elaborates on the effects of asymmetric information and strategic interaction on firms' investment and financing decisions. I study how firms time their decision to raise public equity when outside investors lack information about their future investment prospects. I derive areal-options model that predicts either cold or hot markets for new stock issues conditional on adverse selection, and I provide a rational approach to study jointly the market timing of corporate decisions and announcement effects in stock returns. My doctoral dissertation therefore contributes to our understanding of how under real and financing frictions may bias standard empirical tests, elaborates on how adverse selection may induce hot and cold markets in new issues' markets, and suggests how the underlying economic behaviour of firms may induce alternative patterns in stock prices.
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This paper considers an overlapping generations model in which capital investment is financed in a credit market with adverse selection. Lenders’ inability to commit ex-ante not to bailout ex-post, together with a wealthy position of entrepreneurs gives rise to the soft budget constraint syndrome, i.e. the absence of liquidation of poor performing firms on a regular basis. This problem arises endogenously as a result of the interaction between the economic behavior of agents, without relying on political economy explanations. We found the problem more binding along the business cycle, providing an explanation to creditors leniency during booms in some LatinAmerican countries in the late seventies and early nineties.
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Cette thèse est composée de trois essais en économie forestière. Les deux premiers s'intéressent à la fixation de la redevance optimale à laquelle fait face le propriétaire d'une ressource forestière dans un contexte d'information asymétrique. Le troisième analyse l'impact à long terme du recyclage sur la surface de terre affectée à la forêt. La gestion des ressources forestières implique souvent la délégation des droits de coupe par le propriétaire forestier à une entreprise exploitante. Cette délégation prend la forme d'un contrat de concession par lequel le propriétaire forestier octroie les droits d'exploitation aux compagnies forestières, en contrepartie d'une redevance (transfert monétaire). L'octroie des droits d'exploitation s'effectue généralement sous plusieurs modes, dont les plus répandus sont les appels d'offres publics et les contrats de gré à gré, où le propriétaire forestier et la firme exploitante spécifient entre autres la redevance dans les clauses d'exploitation de la forêt. Pour déterminer le mécanisme optimal (choix de la firme, âge de coupe et redevance), le propriétaire forestier a idéalement besoin de connaître les coûts de coupe et de reboisement. Or en réalité, les firmes sont mieux informées sur leurs coûts que le propriétaire forestier. Dans ce contexte d'information asymétrique, le mécanisme optimal doit donc prendre en considération des contraintes informationnelles. Les deux premiers essais caractérisent, sous ces conditions, l'âge de coupe optimal (la rotation optimale) et la redevance optimale. Le premier essai examine le contrat optimal quand le propriétaire forestier cède les droits de coupes à une firme par un accord de gré à gré ou par une procédure d'appel d'offre public au second prix. L'analyse du problème est menée premièrement dans un contexte statique, dans le sens que les coûts de coupe sont parfaitement corrélés dans le temps, puis dans un contexte dynamique, où les coûts sont indépendants dans le temps. L'examen en statique et en dynamique montre que la rotation optimale va satisfaire une version modifiée de la règle de Faustmann qui prévaudrait en information symétrique. Cette modification est nécessaire afin d'inciter la firme à révéler ses vrais coûts. Dans le cas statique, il en résulte que la rotation optimale est plus élevée en information asymétrique qu'en situation de pleine information. Nous montrons également comment le seuil maximal de coût de coupe peut être endogénéisé, afin de permettre au propriétaire d'accroître son profit espéré en s'assurant que les forêts non profitables ne seront pas exploitées. Nous comparons ensuite la redevance optimale en information asymétrique et symétrique. Les redevances forestières dans un arrangement de gré à gré étant généralement, en pratique, une fonction linéaire du volume de bois, nous dérivons le contrat optimal en imposant une telle forme de redevance et nous caractérisons la perte en terme de profit espéré qui résulte de l'utilisation de ce type de contrat plutôt que du contrat non linéaire plus général. Finalement, toujours dans le contexte statique, nous montrons à travers un mécanisme optimal d'enchère au second prix qu'en introduisant ainsi la compétition entre les firmes le propriétaire forestier augmente son profit espéré. Les résultats obtenus dans le contexte dynamique diffèrent pour la plupart de ceux obtenus dans le cas statique. Nous montrons que le contrat optimal prévoit alors que chaque type de firme, incluant celle ayant le coût le plus élevé, obtient une rente strictement positive, laquelle augmente dans le temps. Ceci est nécessaire pour obtenir la révélation à moindre coût à la période courante du véritable type de la firme. Comme implication, la rotation optimale s'accroît aussi dans le temps. Finalement, nous montrons qu'il y a distorsion en asymétrique d'information par rapport à l'optimum de pleine information même pour le coût le plus bas (la réalisation la plus favorable). La concurrence introduite dans le premier essai sous forme d'enchère au second prix suppose que chaque firme connaît exactement son propre coût de coupe. Dans le deuxième essai nous relâchons cette hypothèse. En réalité, ni le propriétaire forestier ni les firmes ne connaissent avec précision les coûts de coupe. Chaque firme observe de manière privée un signal sur son coût. Par exemple chaque firme est autorisée à visiter un lot pour avoir une estimation (signal) de son coût de coupe. Cependant cette évaluation est approximative. Ainsi, le coût de chaque firme va dépendre des estimations (signaux) d'autres firmes participantes. Nous sommes en présence d'un mécanisme à valeurs interdépendantes. Dans ce contexte, la valeur d'une allocation dépend des signaux de toutes les firmes. Le mécanisme optimal (attribution des droits d'exploitation, redevance et âge de coupe) est exploré. Nous déterminons les conditions sous lesquelles le mécanisme optimal peut être implémenté par une enchère au second prix et dérivons la rotation optimale et le prix de réserve dans le contexte de ce type d'enchère. Le troisième essai de la thèse analyse l'impact à long terme du recyclage sur la surface de terre affectée à la forêt. L'un des principaux arguments qui milite en faveur du recours au recyclage est que cela entraînerait une réduction de la coupe de bois, épargnant ainsi des arbres. L'objectif est donc d'aboutir à un nombre d'arbres plus important qu'en l'absence de recyclage. L'idée d'accroître le stock d'arbre tient au fait que les forêts génèrent des externalités: elles créent un flux de services récréatifs, freinent l'érosion des sols et des rives des cours d'eau et absorbent du dioxyde de carbone présent dans l'atmosphère. Étant donné la présence d'externalités, l'équilibre des marchés résulterait en un nombre d'arbre insuffisant, justifiant donc la mise en oeuvre de politiques visant à l'accroître. Le but de ce troisième essai est de voir dans quelle mesure la promotion du recyclage est un instrument approprié pour atteindre un tel objectif. En d'autres mots, comment le recyclage affecte-t-il à long terme la surface de terre en forêt et l'âge de coupe? Nous étudions cette question en spécifiant un modèle dynamique d'allocation d'un terrain donné, par un propriétaire forestier privé, entre la forêt et une utilisation alternative du terrain, comme l'agriculture. Une fois les arbres coupés, il décide d'une nouvelle allocation du terrain. Il le fait indéfiniment comme dans le cadre du modèle de Faustmann. Le bois coupé est transformé en produit final qui est en partie recyclé comme substitut du bois original. Ainsi, les outputs passés affectent le prix courant. Nous montrons que, paradoxalement, un accroissement du taux de recyclage réduira à long terme la surface forestière et donc diminuera le nombre d'arbres plantés. Par contre l'âge de coupe optimal va s'accroître. L'effet net sur le volume de bois offert sur le marché est ambigu. Le principal message cependant est qu'à long terme le recyclage va résulter en une surface en forêt plus petite et non plus grande. Donc, si le but est d'accroître la surface en forêt, il pourrait être préférable de faire appel à d'autres types d'instruments de politique que celui d'encourager le recyclage.
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I test the presence of hidden information and action in the automobile insurance market using a data set from several Colombian insurers. To identify the presence of hidden information I find a common knowledge variable providing information on policyholder s risk type which is related to both experienced risk and insurance demand and that was excluded from the pricing mechanism. Such unused variable is the record of policyholder s traffic offenses. I find evidence of adverse selection in six of the nine insurance companies for which the test is performed. From the point of view of hidden action I develop a dynamic model of effort in accident prevention given an insurance contract with bonus experience rating scheme and I show that individual accident probability decreases with previous accidents. This result brings a testable implication for the empirical identification of hidden action and based on that result I estimate an econometric model of the time spans between the purchase of the insurance and the first claim, between the first claim and the second one, and so on. I find strong evidence on the existence of unobserved heterogeneity that deceives the testable implication. Once the unobserved heterogeneity is controlled, I find conclusive statistical grounds supporting the presence of moral hazard in the Colombian insurance market.
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Este trabajo recopila literatura académica relevante sobre estrategias de entrada y metodologías para la toma de decisión sobre la contratación de servicios de Outsourcing para el caso de empresas que planean expandirse hacia mercados extranjeros. La manera en que una empresa planifica su entrada a un mercado extranjero, y realiza la consideración y evaluación de información relevante y el diseño de la estrategia, determina el éxito o no de la misma. De otro lado, las metodologías consideradas se concentran en el nivel estratégico de la pirámide organizacional. Se parte de métodos simples para llegar a aquellos basados en la Teoría de Decisión Multicriterio, tanto individuales como híbridos. Finalmente, se presenta la Dinámica de Sistemas como herramienta valiosa en el proceso, por cuanto puede combinarse con métodos multicriterio.
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Las regulaciones como primaje comunitario, paquetes estandarizados y afiliación abierta, orientadas a reducir el impacto de las fallas en los mercados de seguros, tienen un efecto limitado puesto que abren espacio a la selección sesgada. A partir de 1993, el sistema de seguridad social en salud en Colombia fue reformado hacia un enfoque de mercado con la expectativa de mejorar el desempeño de los monopolios preexistentes exponiéndolos a la competencia de nuevos entrantes. La hipótesis que se maneja en el trabajo es que las fallas de mercado pueden llevar a selección sesgada favoreciendo a los nuevos entrantes. Se analizaron dos encuestas de hogares utilizando el estado de salud auto reportado y la presencia de enfermedad crónica como indicadores prospectivos del riesgo de los afiliados. Se encuentra que hay selección sesgada, llevando a selección adversa entre los aseguradores preexistentes, y a selección favorable entre los nuevos entrantes. Este patrón se observa en 1997 y se incrementa en el 2003. Aunque las entidades preexistentes son entidades públicas, y su tamaño disminuyó sustancialmente entre estos años, se analizan sus implicaciones fiscales en términos de financiación adicional por parte del gobierno.
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This dissertation provides a novel theory of securitization based on intermediaries minimizing the moral hazard that insiders can misuse assets held on-balance sheet. The model predicts how intermediaries finance different assets. Under deposit funding, the moral hazard is greatest for low-risk assets that yield sizable returns in bad states of nature; under securitization, it is greatest for high-risk assets that require high guarantees and large reserves. Intermediaries thus securitize low-risk assets. In an extension, I identify a novel channel through which government bailouts exacerbate the moral hazard and reduce total investment irrespective of the funding mode. This adverse effect is stronger under deposit funding, implying that intermediaries finance more risky assets off-balance sheet. The dissertation discusses the implications of different forms of guarantees. With explicit guarantees, banks securitize assets with either low information-intensity or low risk. By contrast, with implicit guarantees, banks only securitize assets with high information-intensity and low risk. Two extensions to the benchmark static and dynamic models are discussed. First, an extension to the static model studies the optimality of tranching versus securitization with guarantees. Tranching eliminates agency costs but worsens adverse selection, while securitization with guarantees does the opposite. When the quality of underlying assets in a certain security market is sufficiently heterogeneous, and when the highest quality assets are perceived to be sufficiently safe, securitization with guarantees dominates tranching. Second, in an extension to the dynamic setting, the moral hazard of misusing assets held on-balance sheet naturally gives rise to the moral hazard of weak ex-post monitoring in securitization. The use of guarantees reduces the dependence of banks' ex-post payoffs on monitoring efforts, thereby weakening monitoring incentives. The incentive to monitor under securitization with implicit guarantees is the weakest among all funding modes, as implicit guarantees allow banks to renege on their monitoring promises without being declared bankrupt and punished.
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FinTech (financial technology, ‘‘FinTech’’) is a double-edged sword as it brings both benefits and risks. This study appraised FinTech’s technological nature that brings changes in complexity in modern financial markets to identify the information deficits and its undesirable outcomes. Besides, as FinTech is still developing, the information regarding, for instance, whether and how to apply regulation may be insufficient for both regulators and those regulated. More one-size-fits-all regulation might accordingly be adopted, thereby resulting in the adverse selection. Through the lens of both law and economics and law and technology, this study suggested AFR (adaptive financial regulation, ‘‘AFR’’) of FinTech to solve the underlying pacing issue. AFR is dynamic, enabling regulatory adjustments and learning. Exploring and collecting information through experiments and learning from experiments are the core of AFR. FinTech regulatory sandboxes epitomize AFR. This study chose Taiwan as a case study. This study found several barriers to adaptive and effective FinTech regulation. Unduly emphasizing consumer protection and the innovation entry criterion by improperly imposing limits on the entry into sandboxes, ignoring post-sandbox mechanisms, and relying on detailed, specific and prescriptive rules to formulate sandboxes are examples. To solve these barriers, this study proposed several solutions by looking into the experiences in other jurisdictions and analyzing. First, striking a balance between encouraging innovation and ensuring financial stability and consumer protection is indispensable. Second, entry to sandboxes should be facilitated by improving the selection criteria. Third, adhering to realizing regulatory adjustment and learning to adapt regulation to technology, this study argued that systematic post-sandbox mechanisms should be established. Fourth, this study recommended “more principles-based sandboxes”. Principles rather than rules should be the base on which sandboxes or FinTech regulation are established. Having principles could provide more flexibility, being easier to adjust and adapt, and better at avoiding.
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In this work we study an agent based model to investigate the role of asymmetric information degrees for market evolution. This model is quite simple and may be treated analytically since the consumers evaluate the quality of a certain good taking into account only the quality of the last good purchased plus her perceptive capacity beta. As a consequence, the system evolves according to a stationary Markov chain. The value of a good offered by the firms increases along with quality according to an exponent alpha, which is a measure of the technology. It incorporates all the technological capacity of the production systems such as education, scientific development and techniques that change the productivity rates. The technological level plays an important role to explain how the asymmetry of information may affect the market evolution in this model. We observe that, for high technological levels, the market can detect adverse selection. The model allows us to compute the maximum asymmetric information degree before the market collapses. Below this critical point the market evolves during a limited period of time and then dies out completely. When beta is closer to 1 (symmetric information), the market becomes more profitable for high quality goods, although high and low quality markets coexist. The maximum asymmetric information level is a consequence of an ergodicity breakdown in the process of quality evaluation. (C) 2011 Elsevier B.V. All rights reserved.
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In this article, we consider the stochastic optimal control problem of discrete-time linear systems subject to Markov jumps and multiplicative noise under three kinds of performance criterions related to the final value of the expectation and variance of the output. In the first problem it is desired to minimise the final variance of the output subject to a restriction on its final expectation, in the second one it is desired to maximise the final expectation of the output subject to a restriction on its final variance, and in the third one it is considered a performance criterion composed by a linear combination of the final variance and expectation of the output of the system. We present explicit sufficient conditions for the existence of an optimal control strategy for these problems, generalising previous results in the literature. We conclude this article presenting a numerical example of an asset liabilities management model for pension funds with regime switching.
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In this paper, we deal with a generalized multi-period mean-variance portfolio selection problem with market parameters Subject to Markov random regime switchings. Problems of this kind have been recently considered in the literature for control over bankruptcy, for cases in which there are no jumps in market parameters (see [Zhu, S. S., Li, D., & Wang, S. Y. (2004). Risk control over bankruptcy in dynamic portfolio selection: A generalized mean variance formulation. IEEE Transactions on Automatic Control, 49, 447-457]). We present necessary and Sufficient conditions for obtaining an optimal control policy for this Markovian generalized multi-period meal-variance problem, based on a set of interconnected Riccati difference equations, and oil a set of other recursive equations. Some closed formulas are also derived for two special cases, extending some previous results in the literature. We apply the results to a numerical example with real data for Fisk control over bankruptcy Ill a dynamic portfolio selection problem with Markov jumps selection problem. (C) 2008 Elsevier Ltd. All rights reserved.
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Dissertação de Mestrado em Finanças Empresariais