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 integr

The 2019 edition of Pensions at a Glance highlights the pension reforms undertaken by OECD countries over the last two years. Moreover, two special chapters focus on non-standard work and pensions in OECD countries, take stock of different approaches to organising pensions for non-standard workers in the OECD, discuss why non-standard work raises pension issues and suggest how pension settings could be improved.

In the wake of the financial crisis and Great Recession, the health of state and local pension plans has emerged as a front burner policy issue. Elected officials, academic experts, and the media alike have pointed to funding shortfalls with alarm, expressing concern that pension promises are unsustainable or will squeeze out other pressing government priorities. A few local governments have even filed for bankruptcy, with pensions cited as a major cause. Alicia H. Munnell draws on both her practical experience and her research to provide a broad perspective on the challenge of state and local pensions. She shows that the story is big and complicated and cannot be viewed through a narrow prism such as accounting methods or the role of unions. By examining the diversity of the public plan universe, Munnell debunks the notion that all plans are in trouble. In fact, she finds that while a few plans are basket cases, many are functioning reasonably well. Munnell's analysis concludes that the plans in serious trouble need a major overhaul. But even the relatively healthy plans face three challenges ahead: an excessive concentration of plan assets in equities; the risk that steep benefit cuts for new hires will harm workforce quality; and the constraints plans face in adjusting future benefits for current employees. Here, Munnell proposes solutions that preserve the main strengths of state and local pensions while promoting needed reforms.

The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.