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Pension Fund Risk Management

Author: Marco Micocci
Publisher: CRC Press
ISBN: 1439817545
Size: 25.66 MB
Format: PDF, ePub, Docs
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As pension fund systems decrease and dependency ratios increase, risk management is becoming more complex in public and private pension plans. Pension Fund Risk Management: Financial and Actuarial Modeling sheds new light on the current state of pension fund risk management and provides new technical tools for addressing pension risk from an integrated point of view. Divided into four parts, the book first presents the correct measurement of risk in pension funds, fund dynamics under a performance-oriented arrangement, an attribution model for monitoring the performance and risk of a defined benefit (DB) pension fund, and an optimal investment problem of a defined contribution (DC) pension fund under inflationary risk. It also describes a pension plan from a dynamic optimization viewpoint, the optimal asset allocation of U.S. pension funds, the identification of stakeholders’ risks, value-at-risk (VaR) methodology, and various effects on the asset allocation of DB pension schemes. The second section focuses on the effects of uncertainty on employer-provided DB private pension plan liabilities; wage-based lump sum payments by death, retirement, or dismissal by the employer; fundamental retirement changes; occupational pension insurance in Germany; and longevity risk securitization in pension schemes. In the third part, the book examines employers’ risks, accountability rules and regulations, useful actuarial analysis instruments, risk-based solvency regime in the Netherlands, and the impact of the 2008 global financial crisis on pension participants. The final part covers DB pension freezes and terminations of plans, the two-pillar social security system of Italy, the Greek social security system, the effect of a company’s unfunded pension liabilities on its stock market valuation, and the returns of Spanish balanced pension plans and portfolio performance. With contributions from well-known, international academics and professionals, this book will assist pension fund executives, risk managers, consultants, and academic researchers in attaining a clear picture of the integration of risks in the pension world. It offers a comprehensive, contemporary account of how to handle the risks involved with pension funds.

Handbook Of Solvency For Actuaries And Risk Managers

Author: Arne Sandström
Publisher: CRC Press
ISBN: 9781439821329
Size: 53.40 MB
Format: PDF, ePub, Mobi
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Reflecting the author’s wealth of experience in this field, Handbook of Solvency for Actuaries and Risk Managers: Theory and Practice focuses on the valuation of assets and liabilities, the calculation of capital requirement, and the calculation of the standard formula for the European Solvency II project. The first three sections of the book examine the solvency concept, historical development, and the role of solvency in an enterprise risk management approach. The text provides a general discussion on valuation, investment, and capital, along with modeling and measuring. It also covers dependence, risk measures, capital requirements, subrisks, aggregation, the main risks market, and credit, operational, liquidity, and underwriting risks. The last three sections focus on the European Solvency II project. Basing the material on CEIOPS final advice, the author presents the general ideas, valuation, investments, and funds of this project as well as the standard formula framework. He also includes all calibrations from previous quantitative impact studies and discusses the political progress of the project. A one-stop shop for actuaries and risk managers, this handbook offers a complete overview of solvency and the European Solvency II standard formula. It gives a clear definition and broad historical review of solvency and incorporates a comprehensive discussion of the theory behind the calculation of the capital requirement. Updates on solvency projects and issues are available at www.SolvencyII.nu

The Future Of Pension Management

Author: Keith P. Ambachtsheer
Publisher: John Wiley & Sons
ISBN: 1119191025
Size: 73.97 MB
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A real-world look at the pension revolution underway The Future of Pension Management offers a progress report from the field, using actual case studies from around the world. In the mid-70s, Peter Drucker predicted that demographic dynamics would eventually turn pensions into a major societal issue; in 2007, author Keith Ambachsheer's book Pension Revolution laid out the ways in which Drucker's predictions had come to pass. This book provides a fresh look at the situation on the ground, and details the encouraging changes that have taken place in pension management concepts and practices. The challenges identified in 2007 are being addressed, and this report shows how design, management, and investment innovation have led to measurably better pension outcomes. Pensions have become an everyday news item, and people are rightly concerned about the security of their retirement in light of recent pension scandals and the global financial crisis. This book provides a note of encouragement, detailing the ways in which today's pensions are becoming more and more secure, and the new ideas and practices that are chipping away at the challenges. Learn how pension management practices are improving Examine the uptick in positive outcomes over recent years Discover why pension investing is turning toward the long-term Consider the challenges that remain and their possible solutions Drucker's vision of a needed pension revolution is unfolding in real time. Better pension designs, more effective pension governance, and more productive pension investing are mitigating many of the issues that threatened collapse. The Future of Pension Management provides a real-world update on the state of pensions today and a look forward to the changes we still need to make.

Operational Risk Modelling And Management

Author: Claudio Franzetti
Publisher: CRC Press
ISBN: 9781439844779
Size: 25.36 MB
Format: PDF, Mobi
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Taking into account the standards of the Basel Accord, Operational Risk Modelling and Management presents a simulation model for generating the loss distribution of operational risk. It also examines a multitude of management issues that must be considered when adjusting the quantitative results of a comprehensive model. The book emphasizes techniques that can be understood and applied by practitioners. In the quantitative portions of the text, the author supplies key concepts and definitions without stating theorems or delving into mathematical proofs. He also offers references for readers looking for further background information. In addition, the book includes a Monte Carlo simulation of risk capital in the form of a run-through example of risk calculations based on data from a quantitative impact study. Since the computations are too complicated for a scripting language, a prototypical software program can be downloaded from www.garrulus.com Helping you navigate the tricky world of risk calculation and management, this book presents two main building blocks for determining how much capital needs to be reserved for operational risk. It employs the loss distribution approach as a model for calculating the risk capital figure and explains risk mitigation through management and management’s actuations.

Quantitative Operational Risk Models

Author: Catalina Bolancé
Publisher: CRC Press
ISBN: 1439895937
Size: 69.64 MB
Format: PDF, Kindle
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Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using a simple and intuitive methodology based on classical transformation methods, the book includes real-life examples of the combination of internal data and external information. A guideline for practitioners, the book begins with the basics of managing operational risk data to more sophisticated and recent tools needed to quantify the capital requirements imposed by operational risk. The book then covers statistical theory prerequisites, and explains how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. In addition, it provides: Simple, intuitive, and general methods to improve on internal operational risk assessment Univariate event loss severity distributions analyzed using semiparametric models Methods for the introduction of underreporting information A practical method to combine internal and external operational risk data, including guided examples in SAS and R Measuring operational risk requires the knowledge of the quantitative tools and the comprehension of insurance activities in a very broad sense, both technical and commercial. Presenting a nonparametric approach to modeling operational risk data, Quantitative Operational Risk Models offers a practical perspective that combines statistical analysis and management orientations.

Quantitative Operational Risk Models

Author: Catalina Bolancé
Publisher: CRC Press
ISBN: 1439895937
Size: 76.56 MB
Format: PDF, Docs
View: 7668
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Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using a simple and intuitive methodology based on classical transformation methods, the book includes real-life examples of the combination of internal data and external information. A guideline for practitioners, the book begins with the basics of managing operational risk data to more sophisticated and recent tools needed to quantify the capital requirements imposed by operational risk. The book then covers statistical theory prerequisites, and explains how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. In addition, it provides: Simple, intuitive, and general methods to improve on internal operational risk assessment Univariate event loss severity distributions analyzed using semiparametric models Methods for the introduction of underreporting information A practical method to combine internal and external operational risk data, including guided examples in SAS and R Measuring operational risk requires the knowledge of the quantitative tools and the comprehension of insurance activities in a very broad sense, both technical and commercial. Presenting a nonparametric approach to modeling operational risk data, Quantitative Operational Risk Models offers a practical perspective that combines statistical analysis and management orientations.

The Fundamental Rules Of Risk Management

Author: Nigel Da Costa Lewis
Publisher: CRC Press
ISBN: 1439816204
Size: 57.46 MB
Format: PDF, Mobi
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The consequences of taking on risk can be ruinous to personal finances, professional careers, corporate survivability, and even nation states. Yet many risk managers do not have a clear understanding of the basics. Requiring no statistical or mathematical background, The Fundamental Rules of Risk Management gives you the knowledge to successfully handle risk in your organization. The book begins with a deep investigation into the behavioral roots of risk. Using both historical and contemporary contexts, author Nigel Da Costa Lewis carefully details the indisputable truths surrounding many of the behavioral biases that induce risk. He exposes the fallacy of the wisdom of experts, explains why you cannot rely on regulators, outlines the characteristics of the "glad game," and demonstrates how high intelligence or lack thereof can lead to loss of hard-earned wealth. He also discusses the weaknesses and failures of modern risk management. Moving on to elements often overlooked by risk managers, Dr. Lewis traces the link between corporate governance and risk management. He then covers core lessons surrounding the role of risk managers as well as the difficult subject of integrated, single lens analysis of risk. The book also explores aspects of spreadsheet risk and draws on lessons learned in the information systems and software engineering communities to provide guidance on selecting the right risk management system. It concludes with a discussion on the most dominant of risk measures—value at risk. Having a clear understanding about risk separates successful professionals, companies, and economies from history’s forgotten failures. Through examples and case studies, this thought-provoking book shows how the rules of risk can work to protect and enhance investor value.

Pensions In The Public Sector

Author: Wharton School. Pension Research Council
Publisher: University of Pennsylvania Press
ISBN: 9780812235784
Size: 31.13 MB
Format: PDF, ePub, Mobi
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Some 13 million public-sector workers in the United States--including teachers, police and firefighters, state and municipal employees, judges, and legislators--and another six million federal and military employees participate in government pension plans. These pension systems are extraordinarily diverse in design, investment policy, and governance, and they face substantial challenges as the government-sector workforce ages and governments are asked to take on new and different tasks. Public employee pensions are in deep trouble in many countries, undermining economic policy and threatening retiree well being. What can be done to help these programs perform more efficiently and enhance old-age security? From the Pension Research Council of the Wharton School, this volume takes stock of public pension developments in the US and Canada, highlighting challenges these financial institutions face in coming decades. The first Pension Research Council study of public pensions in a quarter of a century tackles these topics with an impressive team of international actuarial, legal, and economic experts.

Solvency

Author: Arne Sandstrom
Publisher: CRC Press
ISBN: 142003488X
Size: 27.26 MB
Format: PDF, ePub
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Until now there were no published analyses of the recent solvency work conducted in Europe, specifically the risk categories proposed by the International Actuarial Association (IAA). Answering the insurance industry's demand in the wake of the EU Solvency II project, Solvency: Models, Assessment and Regulation provides a concrete summary and review of solvency and inspires additional work in the field. Following an introduction to the concept, the first section of the book provides a historical review of solvency, detailing solvency regulation and accounting within the EU. A review of the steps leading to Solvency II looks at accounting, supervision, the actuarial field, the first phase of Solvency II, international approaches to banking, and the solvency systems of 12 major nations. The second section explores the current basis for solvency modeling, focusing on the valuation of assets and liabilities, dependency and various conservative approaches, as well as a baseline and benchmark approach. This section also provides examples of risk structure and the effects of diversification. The final section discusses groups and internal modeling as it relates to EU Solvency II. It addresses insurance groups, financial conglomerates, reinsurance, the importance of internal modeling and stress testing, and the current state of the second phase of EU Solvency II.

Market Consistency

Author: Malcolm Kemp
Publisher: John Wiley & Sons
ISBN: 0470684895
Size: 78.93 MB
Format: PDF
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Achieving market consistency can be challenging, even for the most established finance practitioners. In Market Consistency: Model Calibration in Imperfect Markets, leading expert Malcolm Kemp shows readers how they can best incorporate market consistency across all disciplines. Building on the author's experience as a practitioner, writer and speaker on the topic, the book explores how risk management and related disciplines might develop as fair valuation principles become more entrenched in finance and regulatory practice. This is the only text that clearly illustrates how to calibrate risk, pricing and portfolio construction models to a market consistent level, carefully explaining in a logical sequence when and how market consistency should be used, what it means for different financial disciplines and how it can be achieved for both liquid and illiquid positions. It explains why market consistency is intrinsically difficult to achieve with certainty in some types of activities, including computation of hedging parameters, and provides solutions to even the most complex problems. The book also shows how to best mark-to-market illiquid assets and liabilities and to incorporate these valuations into solvency and other types of financial analysis; it indicates how to define and identify risk-free interest rates, even when the creditworthiness of governments is no longer undoubted; and it explores when practitioners should focus most on market consistency and when their clients or employers might have less desire for such an emphasis. Finally, the book analyses the intrinsic role of regulation and risk management within different parts of the financial services industry, identifying how and why market consistency is key to these topics, and highlights why ideal regulatory solvency approaches for long term investors like insurers and pension funds may not be the same as for other financial market participants such as banks and asset managers.