Xem 1-20 trên 402 kết quả Economic risk
  • This book is about foundational issues in risk and risk analysis; how risk should be expressed; what the meaning of risk is; how to understand and use models; how to understand and address uncertainty; and how parametric probability models like the Poisson model should be understood and used. A unifying and holistic approach to risk and uncertainty is presented, for different applications and disciplines.

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  • The United States has seen major advances in medical care over the past decades, but access to care at an affordable cost is not universal. Many Americans lack health care insurance of any kind, and many others with insurance are nonetheless exposed to financial risk because of high premiums, deductibles, co-pays, limits on insurance payments, and uncovered services. One might expect that the U.S. poverty measure would capture these financial effects and trends in them over time.

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  • So far, we assumed there’s no uncertainty in the world. But, in reality, these payoffs are uncertain, most business outcomes are uncertain as well. In this chapter, we will learn: Risk analysis, Moral Hazard/Principal-Agent Problem. Inviting you to refer.

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  • Operations and industrial modeling and management have a long history dating back to the first Industrial Revolution. Scheduling, inventory control, production planning, projects management, control charts, statistical records, customer satisfaction questionnaires, rankings and benchmarking. are some of the tools used for the purpose of better managing operations and services.

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  • Preface Security has been a human concern since the dawn of time. With the rise of the digital society, information security has rapidly grown to an area of serious study and ongoing research. While much research has focused on the technical aspects of computer security, far less attention has been given to the management issues of information risk and the economic concerns facing firms and nations.

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  • This book is is designed for the risk analyst who wishes to better understand the mathematical models and methods used in the management of operational risk in the banking and insurance sectors. Many of the techniques in this book are more generally applicable to a wide range of risks. However, each sector has its unique characteristics, its own data sources, and its own risk migation and management strategies. Other major risk classes in the banking sector include credit risk and market risk.

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  • Financial and insurance markets always operate under various types of uncertainties that can affect nancial positions of companies and individuals. In nancial and insurance theories these uncertainties are usually referred to as risks. Given certain states of the market, and the economy in general, one can talk about risk exposure. Any economic activities of individuals, companies and public establishments aiming for wealth accumulation assume studying risk exposure. The sequence of the corresponding actions over some period of time forms the process of risk management.

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  • We have found the use of the radar — our risk radar — to be a simple and useful device to allow us to present a snapshot of the top 10 strategic business risks for a company, a sector or indeed the global economy as a whole. The radar allows us to show both the scale of the challenge and its nature.

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  • In banking, especially in risk management, portfolio management, and structured finance, solid quantitative know-how becomes more and more important. We had a two-fold intention when writing this book: First, this book is designed to help mathematicians and physicists leaving the academic world and starting a profession as risk or portfolio managers to get quick access to the world of credit risk management. Second, our book is aimed at being helpful to risk managers looking for a more quantitative approach to credit risk....

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  • Banks operating in the main developed countries have been exposed, since the Seventies, to four significant drivers of change, mutually interconnected and mutually reinforcing. The first one is a stronger integration among national financial markets (such as stock markets and markets for interest rates and FX rates) which made it easier, for economic shocks, to spread across national boundaries.

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  • Edited by Rajnish Mehra, this volume focuses on the equity risk premium puzzle, a term coined by Mehra and Prescott in 1985 which encompasses a number of empirical regularities in the prices of capital assets that are at odds with the predictions of standard economic theory.This handbook is indispensable for any serious assessment of the state of the art on the famous equity premium puzzle.

    pdf635p tieungot 24-01-2013 47 23   Download

  • In today’s business environment, conditions remain challenging for many, and risk retains its position high on every organization’s agenda. Businesses themselves are changing, which brings new risk horizons and, at the same time, they are grappling with the changes brought about by a post-downturn economy. The ability to anticipate threats, respond and continually adapt is as critical a part of the risk management process as it ever has been.

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  • Tham khảo sách 'short selling strategies, risks, and rewards', kinh doanh - tiếp thị, tiếp thị - bán hàng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Operations and industrial modeling and management have a long history dating back to the first Industrial Revolution. Scheduling, inventory control, production planning, projects management, control charts, statistical records, customer satisfaction questionnaires, rankings and benchmarking. are some of the tools used for the purpose of better managing operations and services.

    pdf524p transang3 28-09-2012 35 17   Download

  • The World Bank Institute was established by the World Bank in 1955 to train officials con-cerned with development planning, policymaking, investment analysis, and project imple-mentation in member developing countries. At present the substance of WBI’s work empha-sizes macroeconomic and sectoral policy analysis.

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  • in one form or another. Sensitivity analysis or scenario planning for a project or economic appraisal are familiar examples, as are assessing the contingency allowance in a cost estimate or budget, buying insurance, revising contract provisions or undertaking community consultation during project planning.

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  • In banking, especially in risk management, portfolio management, and structured finance, solid quantitative know-how becomes more and more important. We had a two-fold intention when writing this book: First, this book is designed to help mathematicians and physicists leaving the academic world and starting a profession as risk or portfolio managers to get quick access to the world of credit risk management.

    pdf286p transang3 29-09-2012 35 11   Download

  • The financial crisis has been a humbling experience for every participant in the financial system. The events of the past few years have put a particular focus on risk management, its failures and its economic implications. At Goldman Sachs, we have dealt with both the challenges of navigating the crisis itself and with questions about our actions before and during the crisis. Our risk management and business practices in the mortgage market have received much attention. In that connection, we would like to make the following points: against the U.S.

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  • The term model refers to a quantitative method, system, or approach that applies statistical, economic, financial, or mathematical theories, techniques, and assumptions to process input data into quantitative estimates. Good definition? Let’s read more. Today we will start from something very important: Some guidance for model risk management Board of Governors of the Federal Reserve System Office of the Comptroller of the Currency SUPERVISORY GUIDANCE ON MODEL RISK MANAGEMENT Banks rely heavily on quantitative analysis and models in most aspects of financial decision making.

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  • This handbook is the product of a team effort. Jock Anderson, Howard Barnum, John Dixon, and Jee-Peng Tan contributed to the chapters on risk analysis, assessment of health projects, environmental externalities, and on the assessment of education projects, respectively, with valuable input on the latter from George Psacharopoulos. Rodrigo Archondo-Callao, Shantayanan Devarajan, Colin A. Gannon, Pablo Guerrero, Kenneth M. Gwilliam, Ian G. Heggie, David Hughart, Howard Jones, Ulrich Lachler, Julio Linares, Ricardo Martin, Roberto Mosse, A. Mead Over, David A.

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