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. . . . 6th printing. 4to, paperback. NEW. Bright, crisp & clean, unread; covers glossy. Chapters separately paginated.

Personal Financial Planning uses an original framework to make the material comprehensible to students while simultaneously providing a platform for further research and innovation within the discipline. Altfest's Total Portfolio Management approach, combined with an ongoing integrated case study, provides a unique take on this important subject.

Private placement life insurance (PPLI) was once the exclusive domain of wealthy investors willing to tackle the logistical challenges of the offshore insurance market. The investment portfolio, tax, and estate-planning applications, and ongoing investment potential of these policies made the effort worthwhile. In recent years, though, a number of U.S.-based insurance companies have developed similar policies that meet all U.S. insurance, investment, and tax regulations. PPLI is becoming a fundamental component of effective tax, trust, and estate planning, but few sources have been available to detail the best practices—until now. The PPLI Solution can serve as a resource for effective execution. Written by leading practitioners, the book will position advisers to capitalize as PPLI expands further into the high-net-worth market and becomes available to individuals with an investable net worth as low as $1 million. Few investors—whatever their net worth—will want to venture into the PPLI market without guidance. The PPLI Solution addresses the needs of investment managers, consultants, attorneys, and accountants who want to achieve the broad understanding of PPLI's applications required of those providing advice. It can serve as an authoritative source for anyone—including investors—seeking to know more about PPLI’s nearly perfect tax efficiency, solid creditor protection, and powerful means of creating wealth.

Private placement life insurance (PPLI) was once the exclusive domain of wealthy investors willing to tackle the logistical challenges of the offshore insurance market. The investment portfolio, tax, and estate-planning applications, and ongoing investment potential of these policies made the effort worthwhile. In recent years, though, a number of U.S.-based insurance companies have developed similar policies that meet all U.S. insurance, investment, and tax regulations. PPLI is becoming a fundamental component of effective tax, trust, and estate planning, but few sources have been available to detail the best practices—until now. The PPLI Solution can serve as a resource for effective execution. Written by leading practitioners, the book will position advisers to capitalize as PPLI expands further into the high-net-worth market and becomes available to individuals with an investable net worth as low as $1 million. Few investors—whatever their net worth—will want to venture into the PPLI market without guidance. The PPLI Solution addresses the needs of investment managers, consultants, attorneys, and accountants who want to achieve the broad understanding of PPLI's applications required of those providing advice. It can serve as an authoritative source for anyone—including investors—seeking to know more about PPLI’s nearly perfect tax efficiency, solid creditor protection, and powerful means of creating wealth.

Personal Financial Planning uses an original framework to make the material comprehensible to students while simultaneously providing a platform for further research and innovation within the discipline. Altfest's Total Portfolio Management approach, combined with an ongoing integrated case study, provides a unique take on this important subject.

This book provides a summary of research on life annuities, longevity insurance, and their role in the “optimal” retirement portfolio. It starts with an overview of institutional aspects, moves on to discuss valuation issues, and concludes with a comprehensive review of the scholarly literature.

The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

Did you know you can use options to make money every month or every quarter? And you can use options as insurance, for example, to protect your stock portfolio. And if, on occasion, you wanted to speculate, you could leverage your money to double or triple your profits. It will cost you a lot less than if you bought stocks. And finally, if you like to short stocks, it can be safer to use option strategies than to use the stock market.  Speaking of safety, with most option strategies you know how much you can lose in advance. If used properly, options can be used by all investors and traders to generate income, for insurance, and to speculate.  By the time you finish this book, you should have a good idea what options can do for you and whether you want to participate. This jargon-free book is written by Michael Sincere, the author of All About Market Indicators (McGraw-Hill) Understanding Stocks 2E (McGraw-Hill), and Start Day Trading Now (Adams Media).  Table of Contents Part 1: What You Need to Know First   Part 2: Selling Covered Calls   Part 3: How to Buy Calls   Part 4: How to Buy Puts   Part 5: Advanced Options Strategies   Part 6: Uncommon Advice

The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

The Leather Glove Box Organizer keeps your car documents and other essentials in one place. This handsome portfolio features mesh compartments and pockets for your insurance card, registration, auto manual and other paperwork. Includes pen, tire gauge and flashlight. Available in Black or Tan. Leather Glove Box Organizer - Tan

The Leather Glove Box Organizer keeps your car documents and other essentials in one place. This handsome portfolio features mesh compartments and pockets for your insurance card, registration, auto manual and other paperwork. Includes pen, tire gauge and flashlight. Available in Black or Tan. Leather Glove Box Organizer - Black