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Author: Christopher L. House Publisher: ISBN: Category : Languages : en Pages : 38
Book Description
This paper reexamines the relationship between financial market imperfections and economic instability. I present a model in which financial accelerator effects come from adverse selection in credit markets. Unlike other models of the financial accelerator, this model has the potential to stabilize the economy rather than destabilize it. The stabilizing forces in the dynamic model are closely related to forces that cause overinvestment in static models. Consequently, the stabilizing outcomes are not specific to adverse selection but rather are present in any environment in which credit market distortions cause overinvestment. When investment projects are equity financed, or when contracts are written optimally, the only equilibria that emerge are stabilizer equilibria. Thus, stabilizing equilibria are more robust than destabilizing equilibria. Finally, the empirical distinction between accelerator equilibria and stabilizer equilibria is subtle. Many statistics that test for financial accelerators are observationally equivalent in stabilizer equilibria.
Author: Christopher L. House Publisher: ISBN: Category : Languages : en Pages : 38
Book Description
This paper reexamines the relationship between financial market imperfections and economic instability. I present a model in which financial accelerator effects come from adverse selection in credit markets. Unlike other models of the financial accelerator, this model has the potential to stabilize the economy rather than destabilize it. The stabilizing forces in the dynamic model are closely related to forces that cause overinvestment in static models. Consequently, the stabilizing outcomes are not specific to adverse selection but rather are present in any environment in which credit market distortions cause overinvestment. When investment projects are equity financed, or when contracts are written optimally, the only equilibria that emerge are stabilizer equilibria. Thus, stabilizing equilibria are more robust than destabilizing equilibria. Finally, the empirical distinction between accelerator equilibria and stabilizer equilibria is subtle. Many statistics that test for financial accelerators are observationally equivalent in stabilizer equilibria.
Author: Lisboa, Inês Publisher: IGI Global ISBN: 1668456672 Category : Business & Economics Languages : en Pages : 602
Book Description
The international financial crisis of 2007 and 2008 and the situation caused by the COVID-19 pandemic have had a great impact on many firms’ financial needs. Simultaneously, several emerging countries have bet on boosting private initiatives as a way to diversify their economies and create jobs and wealth for their populations. New forms of financing have appeared that have impacted the firm’s capital structure, cost of capital, and access to finance by underprivileged communities that are normally outside the formal economy. The Handbook of Research on Acceleration Programs for SMEs provides and shares knowledge on the financial mix, alternative forms of finance, capital structure, and more. It calls attention to relevant challenges, financial institutions, and governments to guarantee funds and economic and social development with new competencies, innovations, new ways of investing, entrepreneurship, and business models with new public policies. Covering topics such as earnings management, capital structure, and foreign exchange, this major reference work is an essential resource for government officials, business leaders and executives, economists, sociologists, students and faculty of higher education, librarians, researchers, and academicians.
Author: Dr. Santosh Kumar Sahu Publisher: Xoffencerpublication ISBN: 8119534212 Category : Computers Languages : en Pages : 240
Book Description
The 1960s saw the beginning of computer science as an academic field of study. The programming languages, compilers, and operating systems, as well as the mathematical theory that underpinned these fields, were the primary focuses of this course. Finite automata, regular expressions, context-free languages, and computability were some of the topics that were addressed in theoretical computer science courses. In the 1970s, the study of algorithms became an essential component of theory when it had previously been neglected. The goal was to find practical applications for computers. At this time, a significant shift is taking place, and more attention is being paid to the diverse range of applications. This shift came about for a variety of different causes. The convergence of computer and communication technologies has been a significant contributor to this change. Our current conception of data and how best to work with it in a contemporary environment has to be revised in light of recent advances in the capacity to monitor, collect, and store data in a variety of domains, including the natural sciences, business, and other areas. The rise of the internet and social networks as fundamental components of everyday life carries with it a wealth of theoretical possibilities as well as difficulties. Traditional subfields of computer science continue to hold a significant amount of weight in the field as a whole, but researchers of the future will focus more on how to use computers to comprehend and extract usable information from massive amounts of data arising from applications rather than how to make computers useful for solving particular problems in a well-defined manner. With this in mind, we have prepared this book to cover the theory that we anticipate will be important in the next 40 years, in the same way that a grasp of automata theory, algorithms, and other similar areas provided students an advantage in the previous 40 years. An increased focus on probability, statistical approaches, and numerical methods is one of the key shifts that has taken place. The book's early draughts have been assigned reading at a variety of academic levels, from undergraduate to graduate. The appendix contains the necessary background information for a course taken at the 1 | P a ge undergraduate level. Because of this, the appendix contains problems for your homework.
Author: Mr. Ramkumar A Publisher: Xoffencerpublication ISBN: 8119534271 Category : Computers Languages : en Pages : 244
Book Description
The academic field of computer science did not develop as a separate subject of study until the 1960s after it had been in existence since the 1950s. The mathematical theory that underpinned the fields of computer programming, compilers, and operating systems was one of the primary focuses of this class. Other important topics were the various programming languages and operating systems. Context-free languages, finite automata, regular expressions, and computability were a few of the topics that were discussed in theoretical computer science lectures. The area of study known as algorithmic analysis became an essential component of theory in the 1970s, after having been mostly overlooked for the majority of its existence up to that point in time. The purpose of this initiative was to investigate and identify practical applications for computer technology. At the time, a significant change is taking place, and a greater amount of attention is being paid to the vast number of different applications that may be utilized. This shift is the cumulative effect of several separate variables coming together at the same time. The convergence of computing and communication technology has been a major motivator, and as a result, this change may be primarily attributed to that convergence. Our current knowledge of data and the most effective approach to work with it in the modern world has to be revised in light of recent advancements in the capability to monitor, collect, and store data in a variety of fields, including the natural sciences, business, and other fields. This is necessary because of the recent breakthroughs in these capabilities. This is as a result of recent advancements that have been made in these capacities. The widespread adoption of the internet and other forms of social networking as indispensable components of people's lives brings with it a variety of opportunities for theoretical development as well as difficulties in actual use. Traditional subfields of computer science continue to hold a significant amount of weight in the field as a whole; however, researchers of the future will focus more on how to use computers to comprehend and extract usable information from massive amounts of data arising from applications rather than how to make computers useful for solving particular problems in a well-defined manner. This shift in emphasis is due to the fact that researchers of 1 | P a ge the future will be more concerned with how to use computers to comprehend and extract usable information from massive amounts of data arising from applications. This shift in emphasis is because researchers of the future will be more concerned with how to use the information they find. As a result of this, we felt it necessary to compile this book, which discusses a theory that would, according to our projections, play an important role within the next 40 years. We think that having a grasp of this issue will provide students with an advantage in the next 40 years, in the same way that having an understanding of automata theory, algorithms, and other topics of a similar sort provided students an advantage in the 40 years prior to this one, and in the 40 years after this one. A movement toward placing a larger emphasis on probabilities, statistical approaches, and numerical processes is one of the most significant shifts that has taken place as a result of the developments that have taken place. Early drafts of the book have been assigned reading at a broad variety of academic levels, ranging all the way from the undergraduate level to the graduate level. The information that is expected to have been learned before for a class that is taken at the undergraduate level may be found in the appendix. As a result of this, the appendix will provide you with some activities to do as a component of your project.
Author: Sarfraz A. Mian Publisher: Edward Elgar Publishing ISBN: 1788974786 Category : Business & Economics Languages : en Pages : 544
Book Description
This pioneering work explores both the theory and practice of business and technology incubation over the past six decades as an approach to new venture creation and development. With a global scope, the Handbook examines key concepts, models, and mechanisms, providing a research-based analytical foundation from which to understand the emerging role of modern incubation tools in building entrepreneurship ecosystems for promoting targeted economic development.
Author: Pierre-Richard Agénor Publisher: Princeton University Press ISBN: 0691165394 Category : Business & Economics Languages : en Pages : 792
Book Description
The global financial crisis triggered severe shocks for developing countries, whose embrace of greater commercial and financial openness has increased their exposure to external shocks, both real and financial. This new edition of Development Macroeconomics has been fully revised to address the more open and less stable environment in which developing countries operate today. Describing the latest advances in this rapidly changing field, the book features expanded coverage of public debt and the management of capital inflows as well as new material on fiscal discipline, monetary policy regimes, currency, banking and sovereign debt crises, currency unions, and the choice of an exchange-rate regime. A new chapter on dynamic stochastic general equilibrium (DSGE) models with financial frictions has been added to reflect how the financial crisis has reshaped our thinking on the role of such frictions in generating and propagating real and financial shocks. The book also discusses the role of macroprudential regulation, both independently and through its interactions with monetary policy, in preserving financial and macroeconomic stability. Now in its fourth edition, Development Macroeconomics remains the definitive textbook on the macroeconomics of developing countries. The most authoritative book on the subject—now fully revised and expanded Features new material on fiscal discipline, monetary policy regimes, currency, banking and sovereign debt crises, and much more Comes with online supplements on informal financial markets, stabilization programs, the solution of DSGE models with financial frictions, and exchange rate crises
Author: Joseph E. Stiglitz Publisher: Oxford University Press ISBN: 0199533709 Category : Business & Economics Languages : en Pages : 767
Book Description
The first in a series of six volumes containing a selection of Joseph Stiglitz's most important and widely cited work, this volume includes a number of seminal papers on the economics of information. The volume contains substantial additional original commentary by Joseph Stiglitz on his work and the field more generally.
Author: Philip Booth Publisher: CRC Press ISBN: 1420057308 Category : Business & Economics Languages : en Pages : 840
Book Description
In the years since the publication of the best-selling first edition, the incorporation of ideas and theories from the rapidly growing field of financial economics has precipitated considerable development of thinking in the actuarial profession. Modern Actuarial Theory and Practice, Second Edition integrates those changes and presents an up-to-date, comprehensive overview of UK and international actuarial theory, practice and modeling. It describes all of the traditional areas of actuarial activity, but in a manner that highlights the fundamental principles of actuarial theory and practice as well as their economic, financial, and statistical foundations.
Author: Francesco Corea Publisher: Springer ISBN: 3030044688 Category : Technology & Engineering Languages : en Pages : 131
Book Description
This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.
Author: Christopher L. House
Author: Christopher L. House
Author: Lisboa, Inês
Author: Dr. Santosh Kumar Sahu
Author: Michael D. Bordo
Author: Mr. Ramkumar A
Author: Sarfraz A. Mian
Author: Pierre-Richard Agénor
Author: Joseph E. Stiglitz
Author: Philip Booth
Author: Francesco Corea