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The United States is in the midst of a major demographic shift. In the coming decades, people aged 65 and over will make up an increasingly large percentage of the population: The ratio of people aged 65+ to people aged 20-64 will rise by 80%. This shift is happening for two reasons: people are living longer, and many couples are choosing to have fewer children and to have those children somewhat later in life. The resulting demographic shift will present the nation with economic challenges, both to absorb the costs and to leverage the benefits of an aging population. Aging and the Macroeconomy: Long-Term Implications of an Older Population presents the fundamental factors driving the aging of the U.S. population, as well as its societal implications and likely long-term macroeconomic effects in a global context. The report finds that, while population aging does not pose an insurmountable challenge to the nation, it is imperative that sensible policies are implemented soon to allow companies and households to respond. It offers four practical approaches for preparing resources to support the future consumption of households and for adapting to the new economic landscape.
Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.
You've worked hard, lived carefully, and saved diligently. You've reached major milestones and accumulated more assets than you dreamed possible, and yet you hesitate. ""Can I retire?"" This book will help answer that question by showing you.... The tools you need to live a secure and independent retirement, without worrying about money What you must know before leaving a career behind How much it will cost you to live in retirement, and how to manage your cash flow The current choices for retirement health care, including lesser-known but effective options The threat from inflation: two secrets that politicians and bankers will never admit A realistic assessment of the impact that income taxes will have on your retirement Social Security's role in your retirement: when you should claim and how much it's worth to you How to construct and manage an investment portfolio for income and growth in retirement About immediate annuities and why you need multiple sources of retirement income The key variables and unknowns in your retirement withdrawal equation Reviews of the best retirement calculators, and tips for how to use them accurately Beyond the simplistic 4% Rule to the latest research on safe withdrawal rates Realistic bracketing of your retirement savings needs, without over caution or overconfidence The history of economic cycles and the related asset classes for optimal retirement security A survey of strategies plus original research for how to orchestrate your retirement distributions A practical "retirement fuel gauge" alerting you to problems while you still have time to act Backup plans: the "lifeboat strategies" for ensuring you'll never be without essential income The 6 crucial questions to answer before you can retire The one, simple, powerful, non-financial reason that you can and should retire earlier than later
Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases.
Interest Rate Risk Measurement and Management presents a collection of the key contributions in fixed-income investment research. This complete practitioners' manual showcases every major topic in interest rate risk management with detailed analyses and full treatment of equations and statistical measures. It is a substantial investment resource on: single and multi-factor duration risk measures; interest rate risk models for fixed income derivatives; and interest rate risk models for depositories, thrifts, the FDIC, insurers and pension funds.
A Tea Reader contains a selection of stories that cover the spectrum of life. This anthology shares the ways that tea has changed lives through personal, intimate stories. Read of deep family moments, conquered heartbreak, and peace found in the face of loss. A Tea Reader includes stories from all types of tea people: people brought up in the tea tradition, those newly discovering it, classic writings from long-ago tea lovers and those making tea a career. Together these tales create a new image of a tea drinker. They show that tea is not simply something you drink, but it also provides quiet moments for making important decisions, a catalyst for conversation, and the energy we sometimes need to operate in our lives. The stories found in A Tea Reader cover the spectrum of life, such as the development of new friendships, beginning new careers, taking dream journeys, and essentially sharing the deep moments of life with friends and families. Whether you are a tea lover or not, here you will discover stories that speak to you and inspire you. Sit down, grab a cup, and read on.
We provide a systematic analysis of the properties of individual returns to wealth using twelve years of population data from Norway’s administrative tax records. We document a number of novel results. First, during our sample period individuals earn markedly different average returns on their financial assets (a standard deviation of 14%) and on their net worth (a standard deviation of 8%). Second, heterogeneity in returns does not arise merely from differences in the allocation of wealth between safe and risky assets: returns are heterogeneous even within asset classes. Third, returns are positively correlated with wealth: moving from the 10th to the 90th percentile of the financial wealth distribution increases the return by 3 percentage points - and by 17 percentage points when the same exercise is performed for the return to net worth. Fourth, wealth returns exhibit substantial persistence over time. We argue that while this persistence partly reflects stable differences in risk exposure and assets scale, it also reflects persistent heterogeneity in sophistication and financial information, as well as entrepreneurial talent. Finally, wealth returns are (mildly) correlated across generations. We discuss the implications of these findings for several strands of the wealth inequality debate.
Many people mistakenly believe that Social Security (SS) will pay for all or most of their retire. needs, but the fact is, since its inception, SS has provided little protection. A comfortable retire. usually requires SS, pensions, personal savings & invest. The key tool for making a secure retire. a reality is financial planning. It will help clarify your retire. goals as well as other financial goals you want to ¿buy¿ along the way. It will show you how to manage your money so you can afford today¿s needs yet still fund tomorrow¿s. You¿ll learn how to save your money to make it work for you & how to protect it so it will be there when you need it. Explains how you can take the best advantage of retire. plans at work, & what to do if you¿re on your own. Illustrations.