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AbstractUnder Social Security privatization, workers would be allowed to divert some of the money that currently goes to Social Security into private accounts. This would expose them to market risk, that is, the risk of a substantial drop in equity prices or of a prolonged bear market. This could result in generations of workers with less money than they thought they would have for retirement. Depending on a worker's birth date, if the privatization approach proposed by President Bush's Commission to Strengthen Social Security had been enacted at the start of the Social Security program, the retirement benefits generated from putting 10% of earnings in a private account for 35 years would have ranged from 100% to less than 20% relative to pre‐retirement earnings. The extraordinarily high retirement income generated from the booming 1990s stock market was the equivalent of winning the generational lottery—unlikely to be repeated regularly. Even under these beneficial circumstances, a privatized system could have cost the government more than $1 trillion in today's dollars over the past 3 decades if the government decided to help out those who accumulated too little for retirement. The primary alternative to a government bailout of the Social Security system, older workers working longer, would likely not generate the desired results. Workers wanting to work longer would create labor market pressures typically at times when unemployment is already high.

With risk management top of the agenda for many organizations, this book is essential reading for getting to grips with the mathematical story behind the subject of financial risk management. It will take you on a journey from the early ideas of risk quantification up to today's sophisticated models and approaches to business risk management. To help you investigate the most up-to-date, pioneering developments in modern risk management, the book presents statistical theories and shows you how to put statistical tools into action to investigate areas such as the design of mathematical models for financial volatility or calculating the value at risk for an investment portfolio.

Under Social Security privatization, workers would be allowed to divert some of the money that currently goes to Social Security into private accounts. This would expose them to market risk, that is, the risk of a substantial drop in equity prices or of a prolonged bear market. This could result in generations of workers with less money than they thought they would have for retirement. Depending on a worker's birth date, if the privatization approach proposed by President Bush's Commission to Strengthen Social Security had been enacted at the start of the Social Security program, the retirement benefits generated from putting 10% of earnings in a private account for 35 years would have ranged from 100% to less than 20% relative to pre-retirement earnings. The extraordinarily high retirement income generated from the booming 1990s stock market was the equivalent of winning the generational lottery-unlikely to be repeated regularly. Even under these beneficial circumstances, a privatized system could have cost the government more than $1 trillion in today's dollars over the past 3 decades if the government decided to help out those who accumulated too little for retirement. The primary alternative to a government bailout of the Social Security system, older workers working longer, would likely not generate the desired results. Workers wanting to work longer would create labor market pressures typically at times when unemployment is already high.

Oil market sentiment is changing. With traders anticipating tighter crude and product fundamentals for the rest of the year, markets are more sensitive to geopolitical risks in the Middle East.

"Everything you need to know in order to manage risk effectively within your organizationYou cannot afford to ignore the explosion in mathematical finance in your quest to remain competitive. This exciting branch of mathematics has very direct practical implications: when a new model is tested and implemented it can have an immediate impact on the financial environment.With risk management top of the agenda for many organizations, this book is essential reading for getting to grips with the mathematical story behind the subject of financial risk management. It will take you on a journey--from the early ideas of risk quantification up to today's sophisticated models and approaches to business risk management.To help you investigate the most up-to-date, pioneering developments in modern risk management, the book presents statistical theories and shows you how to put statistical tools into action to investigate areas such as the design of mathematical models for financial volatility or calculating the value at risk for an investment portfolio. Respected academic author Simon Hubbert is the youngest director of a financial engineering program in the U.K. He brings his industry experience to his practical approach to risk analysis Captures the essential mathematical tools needed to explore many common risk management problems Website with model simulations and source code enables you to put models of risk management into practice Plunges into the world of high-risk finance and examines the crucial relationship between the risk and the potential reward of holding a portfolio of risky financial assets This book is your one-stop-shop for effective risk management"--

The restructuring of many national and state electricity industries over the last two decades has created new sets of laws and regulations, market design and participants. Along with those changes, industry risks have also been transformed significantly. Prior to restructuring, government-owned or carefully regulated monopoly private utilities would manage most of these industry risks. With restructuring, however, both the government, through their market regulators, and industry participants need to manage a range of previous,, yet also now new, risks. While the government's risk management strategy is focused on the industry as a whole, participants are naturally more concerned with their individual risks. The Australian National Electricity Market (NEM) is one of the many electricity markets that were formed through the restructuring process underway worldwide. It created a number of new types of market participants facing different sets of risks. The main objective of this thesis is to examine the management of market risk by these different NEM participants. The methodology used in the thesis involves developing a fundamental understanding of electricity restructuring, the NEM and the various risks faced by the different NEM participants. Data on NEM spot prices, ancillary costs and forward prices are analysed to gain a better understanding of its relationship with market activities. Different risk management strategies, both proactive and reactive, that can be taken by the participants are discussed This thesis has highlighted some of the complexities involved in managing risks in a restructured electricity industry. Risks are never static and changes in market conditions alter the risk exposure of the participants. Therefore, participants will need to constantly monitor their risk exposure and update their risk management strategies. The Cash-Flow-at-Risk methodology is introduced as a possible tool to measure risk and analyse risk management options for different NEM participants.

Identify and understand the risks facing your portfolio, how to quantify them, and the best tools to hedge them This book scrutinizes the various risks confronting a portfolio, equips the reader with the tools necessary to identify and understand these risks, and discusses the best ways to hedge them. The book does not require a specialized mathematical foundation, and so will appeal to both the generalist and specialist alike. For the generalist, who may not have a deep knowledge of mathematics, the book illustrates, through the copious use of examples, how to identify risks that can sometimes be hidden, and provides practical examples of quantifying and hedging exposures. For the specialist, the authors provide a detailed discussion of the mathematical foundations of risk management, and draw on their experience of hedging complex multi-asset class portfolios, providing practical advice and insights. Provides a clear description of the risks faced by managers with equity, fixed income, commodity, credit and foreign exchange exposures Elaborates methods of quantifying these risks Discusses the various tools available for hedging, and how to choose optimal hedging instruments Illuminates hidden risks such as counterparty, operational, human behavior and model risks, and expounds the importance and instability of model assumptions, such as market correlations, and their attendant dangers Explains in clear yet effective terms the language of quantitative finance and enables a non-quantitative investment professional to communicate effectively with professional risk managers, "quants", clients and others Providing thorough coverage of asset modeling, hedging principles, hedging instruments, and practical portfolio management, Hedging Market Exposures helps portfolio managers, bankers, transactors and finance and accounting executives understand the risks their business faces and the ways to quantify and control them.