Foundations of Investments (Paperback)

本書序言

QUESTIONS AND PROBLEMS ADDRESS BOTH CONCEPTS AND COMPUTATION SKILLS. Questions ensure students master key terminology and conceptual understanding, while problems provide computational practice applying the methods described in the chapter. Many problems include an Excel data file that is referenced in the problem.

本書特色

●CASE STUDIES USE REAL DATA AND ENCOURAGE DEEPER ANALYSIS. This edition's case studies ask students to work with actual data from companies such as Pfizer (PFE). In addition to solving for multiple requirements, case studies ask students to justify their conclusions after performing a more in-depth investment analysis.
●DATA FROM ACTUAL FAMILIAR COMPANIES ADDS INTEREST AND EMPHASIZES THE RELEVANCE OF SKILLS. Throughout this edition, students work with real data from companies such as Tesla, AMD, JP Morgan, Apple and Walmart. Students see firsthand how the data describes and demonstrates actual performance from many of today’s leading companies.
●OBJECTIVE-BASED LEARNING DIRECTS STUDENT ATTENTION TO KEY POINTS. Clear and concise learning objectives start each chapter and are closely tied to the text narrative, questions and problems. This edition's eBook in MindTap includes links to subheads for each objective. This tool makes it easy to navigate to specific parts of the chapter for targeted comprehension.
●EXCEL EXPERT BOXES HIGHLIGHT EXAMPLES FROM THE TEXT. Most examples in this edition appear within Excel Expert boxes. Example solutions are presented through the spreadsheets so students can shift from theory to practice. Students build important problem-solving skills as they implement the suggested functions and formulas within Excel.
●WORLD OF INVESTING APPLICATIONS EXPLORE TIMELY AND POPULAR TOPICS. These applications in each chapter provide students with popular topics and examples of today's investing world, drawn straight from the most recent headlines. Examples engage students with issues such as Bitcoin volatility, socially responsible investing (SRI) and GameStop (GME) Short Squeeze.
●KEY EQUATIONS VISUALLY STAND OUT FROM THE REST OF THE TEXT TO DRAW STUDENT ATTENTION TO THEIR IMPORTANCE. Key equations within each chapter are both screened and numbered to highlight their importance as students learn the underlying theory. All equations are summarized at the end of each chapter for students to conveniently use as they study and complete end-of-chapter problems.

本書序言

問題和練習同時涵蓋概念和計算技能。問題確保學生掌握關鍵術語和概念理解，而練習則提供應用章節中描述的方法的計算實踐。許多問題包含一個在問題中引用的Excel數據文件。

本書特色

●案例研究使用真實數據並鼓勵深入分析。本版的案例研究要求學生使用來自輝瑞等公司的實際數據進行工作。除了解決多個要求外，案例研究還要求學生在進行更深入的投資分析後證明他們的結論。
●來自實際熟悉的公司的數據增加了興趣，並強調技能的相關性。在本版中，學生將與特斯拉、AMD、JP摩根、蘋果和沃爾瑪等公司的真實數據一起工作。學生可以第一手了解數據如何描述和展示當今許多領先公司的實際表現。
●基於目標的學習引導學生關注關鍵點。每章開始時都有清晰而簡潔的學習目標，與文本敘述、問題和練習密切相關。本版MindTap中的電子書包含每個目標的子標題鏈接。這個工具使得方便定位到章節的特定部分以進行有針對性的理解。
●Excel專家框突出了來自文本的示例。本版中的大多數示例都出現在Excel專家框中。示例解決方案通過電子表格呈現，學生可以從理論轉向實踐。學生在Excel中實施建議的函數和公式時，建立了重要的問題解決技能。
●投資世界應用探索及時和熱門話題。每章中的這些應用為學生提供了當今投資世界的熱門話題和示例，直接來自最新的頭條新聞。示例涉及學生關注的問題，如比特幣的波動性、社會責任投資（SRI）和GameStop（GME）的空頭擠壓。
●關鍵方程式在文本中以視覺方式突出，以引起學生對其重要性的注意。每章中的關鍵方程式都被篩選和編號，以突出學生學習基礎理論的重要性。每章結束時，所有方程式都被總結，供學生方便使用，以便他們在學習和完成章末問題時使用。

Dr. Troy Adair is a teaching professor in the Decision and Technology Analytics Department in the College of Business at Lehigh University, where he also co-directs the computer science and business degree program as well as the fintech minor. Dr. Adair received his B.S. in computers/information science from the University of Alabama at Birmingham, his M.B.A. from the University of North Dakota and his Ph.D. in business from Indiana University. Prior to joining Lehigh University, Dr. Adair held many influential positions in industry. He managed research computing infrastructure and support services for Harvard Business School. He served as a senior business intelligence consultant in the financial services industry to HSBC, JP Morgan Chase and the United Services Automobile Association (USAA). In addition, he served as the banking/risk management professor for the Ross School of Business at the University of Michigan, where he also oversaw a variety of academic functions as the Associate Provost/Associate Vice President for Institutional Effectiveness at Berkeley College. Dr. Adair is a vocal advocate for the use of technology to enhance business processes. He has authored numerous textbooks leveraging technology in the business decision-making processes, including FINANCE: APPLICATIONS & THEORY, CORPORATE FINANCE DEMYSTIFIED and INTRODUCTION TO R FOR BUSINESS.

Dr. John Nofsinger is dean and the William H. Seward Endowed Chair in International Finance at the College of Business & Public Policy, University of Alaska Anchorage. Dr. Nofsinger has authored or co-authored 16 finance trade books, textbooks and scholarly books that have been translated into 11 languages. Two books, in particular, THE PSYCHOLOGY OF INVESTING and THE BIOLOGY OF INVESTING, are extremely popular with investment advisors. Dr. Nofsinger is a prolific scholar who has written 74 articles in multiple disciplines that have been published in a variety of prestigious scholarly journals or practitioner journals. He is most widely known for his work in investments, behavioral finance and socially responsible investing.

Dr. Troy Adair是Lehigh University商學院決策與技術分析系的教授，同時也是計算機科學和商業學位課程以及金融科技專業的聯合主任。Adair博士在阿拉巴馬大學伯明翰分校獲得計算機/信息科學學士學位，並在北達科他大學獲得工商管理碩士學位，以及在印第安納大學獲得商業博士學位。在加入Lehigh University之前，Adair博士在業界擔任了多個具有影響力的職位。他曾管理哈佛商學院的研究計算基礎設施和支持服務，並在金融服務行業為匯豐銀行、摩根大通和美國聯合服務汽車協會（USAA）擔任高級商業智能顧問。此外，他還在密歇根大學羅斯商學院擔任銀行/風險管理教授，同時擔任伯克利學院副校長/副校長，負責監督各種學術職能。Adair博士是利用技術提升業務流程的堅定倡導者。他撰寫了多本利用技術進行商業決策過程的教科書，包括《FINANCE: APPLICATIONS & THEORY》、《CORPORATE FINANCE DEMYSTIFIED》和《INTRODUCTION TO R FOR BUSINESS》。

Dr. John Nofsinger是阿拉斯加大學安克雷奇分校商業與公共政策學院的院長和William H. Seward國際金融講座教授。Nofsinger博士是16本金融貿易書籍、教科書和學術書籍的作者或合著者，並被翻譯成11種語言。其中兩本書，《THE PSYCHOLOGY OF INVESTING》和《THE BIOLOGY OF INVESTING》，在投資顧問中非常受歡迎。Nofsinger博士是一位多產的學者，他在多個學科領域撰寫了74篇文章，並發表在多個知名學術期刊或實踐期刊上。他最廣為人知的是他在投資、行為金融和社會責任投資方面的研究工作。

PART I: The Investments Environment.
1. Introduction to Investments.
2. Types and Attributes of Financial Instruments.
3. Securities Markets and Transactions.
4. Mutual Funds and Other Investment Companies.
PART II: Portfolio Theory.
5. Measuring Return and Risk.
6. Portfolios and Diversification.
7. Risk-Free and Risky Asset Allocation and the CAPM.
8. Asset Pricing Models and Efficient Markets.
9. Portfolio Performance Analytics.
PART III: Investing in Stock.
10. The Macroeconomic Environment for Investment Decisions.
11. Valuing Common Stock.
12. Valuing Preferred Stock.
PART IV: Investing in Debt.
13. Valuing Corporate Bonds.
14. Valuing Government Securities.
PART V: Investing in Derivative Securities.
15. An Introduction to Futures Contracts and Options.
16. Derivative Valuation and Strategies.
PART VI - Special Topics.
17. Technical Analysis.

第一部分：投資環境。
1. 投資簡介。
2. 金融工具的類型和特性。
3. 證券市場和交易。
4. 共同基金和其他投資公司。
第二部分：投資組合理論。
5. 回報和風險的衡量。
6. 投資組合和分散投資。
7. 無風險和有風險資產配置和CAPM。
8. 資產定價模型和有效市場。
9. 投資組合績效分析。
第三部分：股票投資。
10. 宏觀經濟環境對投資決策的影響。
11. 評估普通股。
12. 評估優先股。
第四部分：債券投資。
13. 評估公司債券。
14. 評估政府證券。
第五部分：衍生證券投資。
15. 期貨合約和期權介紹。
16. 衍生證券的評估和策略。
第六部分：特殊主題。
17. 技術分析。