MBA Student Investment Management Fund · 2020. 1. 7. · Lessons Learned Agenda . 4 Strategy . 5...

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MBA Student Investment Management Fund Final Presentation April 28, 2017

Transcript of MBA Student Investment Management Fund · 2020. 1. 7. · Lessons Learned Agenda . 4 Strategy . 5...

Page 1: MBA Student Investment Management Fund · 2020. 1. 7. · Lessons Learned Agenda . 4 Strategy . 5 Strategy Overview Journal of Finance 2010, “Decoding Inside Information” - Cohen,

MBA Student Investment Management Fund

Final Presentation

April 28, 2017

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Team

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1. Strategy Review 2. Implementation

• Process • Stats

3. Portfolio Returns 4. Investing Environment 5. Challenges 6. Possible Refinements 7. Lessons Learned

Agenda

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Strategy

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Strategy Overview Journal of Finance 2010, “Decoding Inside Information” - Cohen, Malloy & Pomorski

• Predicative power of opportunistic trades • Routine: buying and selling in the same calendar month for past 3 years • Opportunistic: buying and selling in no discernable pattern

Historical Data - 1,114 stocks

- SEC Form4 from past 3 years

Weekly Data - SEC Form4 from

each week

Opportunistic Trades

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Implementation: Process • Role Changes

• Scrapping - Identifying trades - Trade form - Checking form - Bloomberg • Due diligence on each stocks

• Portfolio Construction • 2.5% weight on each stock • Multiple tranches

Tranche

1

2

3

12

1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

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Implementation: Stats

Holding Period • Total number of stocks in portfolio • Repeated signals • Recent news on the company

Securities Bought:

85

Securities Sold:

44

Repeat signals:

24

Avg Holding period:

9.8 weeks

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Returns

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Milestones

• Bought 7 Stocks

• Rest remained in IWV

Begin Seeding

• Out of IWV

• Now we are cooking!

Fully Seeded

• Liquidated portfolio

• Funds returned to IWV

Fully Divested

11/21/16

2/13/17

4/24/17

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GIC Industry Avg Weight Comp *Averages across entire holding period *Active Portfolio

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Active Portfolio Market Cap Holding *Active Portfolio *Averages across entire holding period

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Return: Active Portfolio

Return Active Port

Russell 3000

Russell 2000

S&P 500

Total Return

11.21% 8.65% 6.30% 8.01%

Std Dev 2.51% 2.66% 1.59% 2.58%

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Return: Total Portfolio

Return Total Port Russell 3000

Russell 2000

S&P 500

Total Return

7.96% 8.65% 6.30% 8.01%

Std Dev 2.03% 2.66% 1.59% 2.58%

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Challenges

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Investing Environment • New president elected 2

weeks prior • Multiple bills passed in first

30-60 days

• Fewer trades being made by insiders

• Going on year 9 of Bullish market

• Record highs for DJIA • Russel 2000 performance below

S&P500 • Interest Rate hike

POLITICAL/LEGAL

ECONOMIC

SOCIAL

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Implementation: Challenges

• Special stock dividend

Unexpected Events

• Tracking buys/sells/repeats • System updates needed throughout

the past several months • Instability of SEC website

Data Management/ System Complications

• Bumped up against industry concentrations thresholds

• Rebalancing

Internal limits

• Stayed in IWV for much longer than expected

• Repeat signals

Holding Periods

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Chllenges

Data Management

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Excluded Informational Trades

01

02

03

04

Low Market

Capitalization

Firm involved in

lawsuits

Research yielded

additional purchase

information

Merger/acquisition

announced

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Refining the Strategy

- Add Fundamental, or

other quant

- Insider Silence

Complementary Strategies

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Complementary Strategy “The Information Content of Sudden Insider Silence” - Hong and Li, 2016

• Insider Sudden Silence

• Insider who traded stocks in same calendar month for past two years and suddenly stops trading

• Predicative power of sudden silence of routine trader

• Average monthly returns from a portfolio of opportunistic buys: • Sell-Sell-NoSell: 43.7bp • Purchase-Purchase-NoPurchase: -33.8bp

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Complementary Strategy

• Period : Monthly analysis from Dec 2016 to Mar 2017

DEC 2016 JAN 2017 FEB 2017 MAR 2017

Total # of Stocks 21 23 28 28

Repeated Signal - 5 6 4

• Complementary Strategy

• 80% Active Portfolio + 20% Alternative Portfolio • Diversification: increases the total number of stocks in the portfolio

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Complementary Strategy

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Complementary Strategy

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Lessons Learned

Things with break:

Troubleshooting is both an art and a science

Python & SQL

Management:

- Time

- Process

- Data

- Cash

Do the calculations yourself

Everyone on the team

needs to be up to speed on the entire process

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Questions?

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Appendix: Time-Weighted Average Return Calculation for Total Portfolio

1 + 4.01% ∗ 1 − 0.17% ∗ 1 + 3.58% ∗ 1 − 3.35% ∗ 1 + 3.86% − 1 = 7.96%

One period return

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Appendix: GIC Industry Average Weight Comparison

*Averages across entire holding period *Total Portfolio

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Appendix: Attribution by each stock

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Appendix: Attribution by each stock cont

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Appendix: Attribution by each stock cont