Winning the loser's game : timeless strategies for successful investing
著者
書誌事項
Winning the loser's game : timeless strategies for successful investing
McGraw-Hill, c2017
7th ed
大学図書館所蔵 件 / 全2件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes index
内容説明・目次
内容説明
Everything you need to know for long-term stock-market success-with critical new information about indexing, ETFs, and 401(k)s
From one of today's most respected authorities on stock investing, Winning the Loser's Game explains how you can avoid common traps and succeed in today's volatile markets. Ellis presents the cold, hard facts about important changes in the market over the past 50 years, why succeeding with active investing has become more difficult, and how you can outperform markets for steady, long-term gain. With lower rates of return now and over the next several years, you need to rethink you overall approach to investing-and Ellis shows how in this heavily updated edition.
目次
Preface
Introduction
Chapter 1: The Loser's Game
Chapter 2: The Winner's Game
Chapter 3: Beating the Market
Chapter 4: Mr. Market and Mr. Value
Chapter 5: The Investor's Dream Team
Chapter 6: Investor Risk and Behavioral Economics
Chapter 7: Your "Unfair" Competitive Advantage Indexing
Chapter 8: The Paradox
Chapter 9: Time
Chapter 10: Returns
Chapter 11: Investment Risks
Chapter 12: Building Portfolios
Chapter 13: Whole-Picture Finance
Chapter 14: Why Policy Matters
Chapter 15: Playing to Win
Chapter 16: Challenges with Performance Measurement
Chapter 17: The Dark Matter of Investing
Chapter 18: Predicting the Market-Roughly
Chapter 19: Individual Investors
Chapter 20: Selecting Mutual Funds
Chapter 21: Phooey On Phees
Chapter 22: Planning Your Play
Chapter 23: Disaster Again & Again
Chapter 24: Getting Right on 401(K) Plans
Chapter 25 Endgame
Chapter 26: Thoughts for the Wealthy
Chapter 27: You Are Now Good to Go!
Chapter 28: Parting Thoughts
Appendix A: Serving on Investment Committees
Appendix B: Murder on the Orient Express
Appendix C: Recommended Reading
Index
「Nielsen BookData」 より
