Modern Finance and Its Impact in the Real World Financial Markets, - - PowerPoint PPT Presentation

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Modern Finance and Its Impact in the Real World Financial Markets, - - PowerPoint PPT Presentation

Modern Finance and Its Impact in the Real World Financial Markets, Day 1, Class 1 Jun Pan Shanghai Advanced Institute of Finance (SAIF) Shanghai Jiao Tong University April 18, 2019 Financial Markets, Day 1, Class 1 Modern Finance and Its


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Modern Finance and Its Impact in the Real World

Financial Markets, Day 1, Class 1

Jun Pan

Shanghai Advanced Institute of Finance (SAIF) Shanghai Jiao Tong University April 18, 2019

Financial Markets, Day 1, Class 1 Modern Finance and Its Impact in the Real World Jun Pan 1 / 14

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Outline for Day 1

Class 1: Modern fjnance and its impact in the real world. Class 2: Estimation using fjnancial data. Class 3: Alpha, Beta, and the CAPM. Class 4: Quant investing and multifactor models. Class 5: Quant investing and other cross-sectional patterns. Class 6: Review and quiz.

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Outline for Class 1

Class logistics. Modern fjnance. Impact in the real world.

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How Grades are Determined?

20% Class attendance 20% Class participation 20% In-Class Tests 20% Group Project 20% Individual Project

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Modern Finance and Its Impact in the Real World

Finance as an academic discipline has a direct and lasting impact on the development of capital markets and the practice of fjnancial institutions. It ofgers an assset-pricing framework through which fjnancial risk can be quantifjed and priced in relation to the economic fundamentals. The dynamic asset pricing models and hedging techniques developed by academics are instrumental in advancing the tremendous innovations in fjnancial products since the 1970s. Often, the most creative ideas and the best trading strategies arise from research papers written by fjnance professors. The real and sometime painful experiences from the capital markets also infmuence how research is done in the academic world.

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Modern Finance: Theory, Practice, and Lessons

1 95 0 19 51 1 9 52 19 5 3 1 9 5 4 19 55 19 5 6 1 9 5 7 1 9 5 8 1 9 5 9 1 9 6 1 9 6 1 1 9 6 2 19 6 3 19 64 1 9 6 5 19 66 1 9 6 7 1 9 6 8 1 9 6 9 1 9 7 1 9 7 1 1 9 7 2 1 9 7 3 1 9 7 3 1 9 7 4 1 9 7 5 1 9 7 6 1 9 77 1 9 7 8 1 9 79 19 8 1 9 8 1 1 9 8 2 1 9 8 3 1 9 8 4 1 9 85 1 9 8 6 1 987 1 988 1 9 8 9 1 9 90 1 9 9 1 1 9 9 2 1 9 9 3 1 9 9 4 1 9 9 5 1 9 9 6 1 99 7 1 9 9 7 1998 1999 2 20 01 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 00 9 20 10 20 1 1 2 01 2 2 1 3 2 1 4 2 1 5 2 1 6 2 1 7 2 1 8 2 01 9

Portfolio Theory (Markowitz) Two-Fund Separation (Tobin) Investments and Capital Structure (Modigliani and Miller) CAPM (Sharpe) Efficient Markets Hypothesis (Samuelson, Fama) Mutual Funds Study (Jensen) Birth of Index Funds (McQuown) Option Pricing Theory (Black, Scholes, Merton) First US Options Exchange, CBOE Index Mutual Funds (Bogle) Rise of Junk Bonds (Michael Milken) Mortgage Backed Securities (Fannie Mae) First Stock Index Futures OTC Derivatives Interest Rate Swaps Stock Market Crash S&L Bailout Collapse of Junk Bonds Large Derivatives Losses Credit Derivatives (CDS) First TIPS Asian Crisis LTCM Crisis Dot-Com Peak Enron Scandal WorldCom Scandal Financial Crisis Dodd-Frank European Sovereign Crisis Chinese Stock Market Crash Trump Trade War

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Markowitz (1952)

The beginning of Modern Finance. Introduces the concept of risk and return tradeofg. Risk is central to the process of investing. Forms the foundation for all subsequent theories on quantifying risk.

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Tobin (1958)

Two-fund separation: one risky and one riskfree. The optimal risky portfolio is the same for all mean-variance investors, regardless of his level of risk aversion. The level of risk aversion afgects the relative allocation between the risky and riskfree.

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Sharpe (1964)

A model with huge impact on the practice of fjnance, especially in asset management. Brings Markowitz (1952) to equilibrium: all investors behave optimally and the markets clear. The optimal risky portfolio in Tobin (1958) becomes the market portfolio and the single most important risk: systematic risk. The riskiness of a stock is measured not by its own variance, but its covariance with the market portfolio: βi = cov(Ri, Rm)/var(Rm). The reward is proportional to the exposure to systematic risk: E(Ri) − rf = βi (E(Rm) − rf) .

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Black and Scholes (1973)

A pricing frame work with huge infmuence on generations of academics and practitioners. The continuous-time arbitrage-free pricing framework establishes the foundation for fjnancial innovations on Wall Street since the 1970s. The multi-trillion dollar OTC derivatives market would not have been possible without their work. Such fjnancial innovations ofger a whole new dimension of risk taking by giving people the fmexibility to choose the risk to take or avoid.

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Vanguard and the Birth of Index Mutual Funds

Vanguard, with $5.3 trillion in assets under management, is the largest provider of mutual funds and the second-largest of ETFs.

▶ Vanguard Total Stock Market Index (VTSMX): net assets $757 billion. ▶ Vanguard 500 Index (VFINX): oldest index mutual fund ($448 billion).

In a commentary published on the Wall Street Journal in 2011, John Bogle, founder of The Vanguard Group and of the Vanguard 500 Index Fund, wrote

▶ On August 31, 1976, the fjrst index mutual fund was born. The idea

that passive equity management could outpace active management was derogated and ridiculed.

▶ When the books were closed, the underwriting produced just

$11.3 million, a 93% shortfall from the goal ($150 million).

▶ Today (September 2011), the assets of the Vanguard funds modeled on

the S&P 500 Index total $200 billion, together constituting the largest equity fund in the world. (The second largest, at $180 billion, are the Vanguard Total Stock Market Index Funds.) Investors have voted for index funds with their wallets, and they continue to do so.

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The Growth of Index Mutual Funds

Source: 2017 Investment Company Fact Book

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Cumulative Flow Since 2007

Source: 2017 Investment Company Fact Book

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From Academic to the Real World

The implementation of a great idea does not always travel in a straight line. Reshaping an industry takes years, even decades. The slow, but persistent rise of Indexing and Factor Investing, with the emergence of giants such as Vanguard ($5.3 trillion) and BlackRock ($5.98 trillion), is a perfect example of how academic research can lead the industry practice. It is through such examples that we learn to appreciate the power of academic insights. If you are in this world to make a long-term impact, not just short-term profjts, root your practice fjrmly in the rigor of academic insights. In his 2011 WSJ article, Bogle credited his success to the support from Nobel laureate economist Paul Samuelson: “Samuelson was much more forceful, strengthening my backbone for the hard task that lay ahead: taking on the industry establishment.”

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