Momentum Trading - Interactive Module
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Interactive Guide

CASSIA TRADINGINVESTING MASTERY COURSE

MOMENTUM
TRADING

Understanding Winners and Losers in Financial Markets

Based on Academic Research

Jegadeesh & Titman (1993, 2001)

STRATEGY SERIES

Time-Series & Cross-Sectional Analysis

Module 2: Core Concepts

WHAT IS MOMENTUM?

Concept 01

THE DEFINITION

Momentum is the empirical tendency of winning stocks to keep winning and losing stocks to keep losing over intermediate time horizons.

Not too short, not too long

Time Horizon

3-12 Months

Key Trait

Persistence

Physical Analogy

"Objects in motion tend to stay in motion"

— Isaac Newton (Applied to Finance)

+Returns

WINNERS

Keep Winning

LOSERS

Keep Losing

-Returns

Trends persist longer than random walk theory suggests.

MODULE 2.1: MOMENTUM FUNDAMENTALS

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Module 2: Core Concepts

THE ACADEMIC FOUNDATION

Concept 02

Seminal Paper

"Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency"

Authors

Narasimhan Jegadeesh

Sheridan Titman

Publication

The Journal of Finance

March 1993 • Vol. 48, No. 1

"Strategies which buy stocks that have performed well in the past and sell stocks that have performed poorly generate significant positive returns over 3- to 12-month holding periods."

The Original Study

1993 Findings

Dataset

US Stocks
1965-1989

Horizon

3-12 Month
Formation

Result

~1% / Month
Excess Return

Methodology Details:

Ranked stocks based on past J-month returns

Formed decile portfolios (Top 10% vs Bottom 10%)

Held for K-months (overlapping portfolios)

The Confirmation

2001 Follow-Up

Addressed concerns that 1993 results were due to data mining.

Extension

Tested to 1998

Verdict

Momentum Persists

Key Conclusions:

Profitability was not a statistical fluke

Returns continued in out-of-sample period

Effect is real, robust, and tradeable

MODULE 2.2: ACADEMIC ORIGINS

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Module 2: Core Concepts

TIME-SERIES MOMENTUM

Concept 03

THE STRATEGY

"Trend Following"

Core Logic

Compare an asset's current price to its OWN past price.

Positive Return

BUY / HOLD

Negative Return

SELL / SHORT

TRY IT YOURSELF

Identify the correct signal on the chart based on the 12-month lookback rule.

PRICE HISTORY (XYZ CORP)

12-MONTH LOOKBACK WINDOW

Price
Reference Price (12m ago)
12-Month Formation Period
Current: $125
Past: $100

MODULE 2.3: TIME-SERIES MECHANICS

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Module 2: Core Concepts

CROSS-SECTIONAL MOMENTUM

Concept 04

THE STRATEGY

"Relative Strength"

Core Logic

Rank assets by past returns. Buy winners, sell losers.

UNIVERSE (6M Returns)

8 STOCKS

Drag top performers to BUY and worst to SELL.

NVDA
NVIDIA
+45.2%
TSLA
TESLA
-12.5%
AAPL
APPLE
+8.4%
AMD
AMD
+28.1%
INTC
INTEL
-25.8%
MSFT
MICROSOFT
+15.2%
PYPL
PAYPAL
-18.4%
AMZN
AMAZON
+5.6%

WINNERS (Top 20-30%)

LONG

Drop top performers here

LOSERS (Bottom 20-30%)

SHORT

Drop worst performers here

YOUR TASK

Select the 2 best stocks for the Long bucket and 2 worst for the Short bucket.

MODULE 2.4: CROSS-SECTIONAL RANKING

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Module 2: Strategy Comparison

TIME-SERIES VS CROSS-SECTIONAL

Concept 05

TIME-SERIES

VS

CROSS-SECTIONAL

Comparison Basis

What is it compared to?

Asset vs Its Own Past

Absolute performance

Assets vs Each Other

Relative performance

Universe Needs

Minimum number of assets required to run the strategy effectively.

Asset Count?

Can trade 1 asset

Flexible deployment

Needs many assets

Requires ranking pool (50+)

Market Direction

Directional bias?

Directional Bets

Profits from strong trends

Market Neutral Possible

Long Winners / Short Losers

Implementation

Complexity Level

LOWER

Simpler Execution

Follow trends individually

HIGHER

More Complex

Requires ranking & rebalancing

Best Fit

Asset Classes

Commodities, Currencies

Managed Futures (CTAs)

Stock Portfolios

Equity Long/Short Funds

MODULE 2.5: STRATEGY SELECTION

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Module 2: Implementation

HOW TO APPLY: TIME-SERIES

Concept 06

1

CHOOSE LOOKBACK

Decide how far back to compare prices.

Standard Setting

12 Months

(Skip most recent month)

Tip: Skipping month t-0 avoids short-term reversals.

Pitfall: Too short (<3m) = noise. Too long (>24m) = outdated.

2

CALCULATE RETURN

Determine the momentum signal strength.

Formula

(Pcurrent - Ppast) / Ppast

Easy Check: Is price higher today than it was a year ago?

Adjust: Use dividends-adjusted price for accuracy.

3

MAKE DECISION

Apply the rule to enter or exit.

> 0 BUY / HOLD
< 0 SELL / CASH

Safety: This acts as a built-in stop loss mechanism.

Warning: Watch for "whipsaws" in range-bound markets.

4

REBALANCE MONTHLY

Review positions on a schedule.

Action Plan

Exit if return turns negative. Enter if return turns positive.

Discipline: Stick to the schedule. Don't second-guess.

Cost: Consider transaction costs if turnover is high.

MODULE 2.6: EXECUTION STEPS

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Module 2: Implementation

HOW TO APPLY: CROSS-SECTIONAL

Concept 07

1

DEFINE UNIVERSE

Liquid stocks (50-100+)

2

RANK STOCKS

Sort by past returns

3

SELECT & WEIGHT

Long Top / Short Bottom

4

REBALANCE

Update monthly

WINNERS

LONG PORTFOLIO

Top 30%
NVDA +45% AMD +28% MSFT +15% META +32% AVGO +22% AMZN +18% GOOGL +12% NFLX +25%

Weighting

Equal Weight

Rebalance

Monthly

10% 50%
Top/Bottom 30%

MARKET NEUTRAL

Long exposure cancels out short exposure

LOSERS

SHORT PORTFOLIO

Bottom 30%
INTC -25% PYPL -18% DIS -15% WBA -32% MMM -12% VZ -10% T -8% K -14%

Weighting

Equal Weight

Rebalance

Monthly

MODULE 2.7: PORTFOLIO CONSTRUCTION

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Module 2: Market Conditions

WHEN MOMENTUM WORKS BEST

Concept 08

TRENDING MARKETS

Momentum thrives when prices move in sustained directions rather than choppy ranges. Requires strong serial correlation in returns.

Real-World Scenario

Example: Post-2009 Bull Market or 2020 Tech Rally. When the S&P 500 is above its 200-day moving average, momentum strategies often outperform value.

INTERMEDIATE HORIZONS

The sweet spot is 3 to 12 months. Very short periods (<1mo) mean revert, and very long periods (>2yr) mean revert.

Research Insight

Data: Jegadeesh & Titman found the strongest profits using a "12-1" strategy: forming portfolios based on 12-month returns, skipping the most recent month.

UNDER-REACTION

Momentum works because information diffuses gradually. Investors anchor to old prices and are slow to update beliefs.

Psychology Logic

Example: Earnings Surprise. When a company beats estimates, the stock jumps, but analysts take weeks to fully upgrade their models, causing a continued drift upward.

LOW TRANSACTION COSTS

High turnover strategies require liquid markets. Tight spreads and low commissions are essential to keep profits.

Execution Key

Focus: Large-cap stocks (S&P 500) or major forex pairs. Avoid micro-caps where the bid-ask spread might eat the entire monthly momentum gain.

MODULE 2.8: SUCCESS FACTORS

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Module 2: Risk Management

WHEN MOMENTUM FAILS

Concept 09

SHARP REVERSALS

High Risk

Sudden trend changes where winners crash and losers surge. Often occurs during market panic recovery.

Momentum Crash Scenario

Historical Example

2009 Rebound: Low-quality "loser" stocks (banks/distressed) rallied 100%+, causing momentum shorts to blow up.

Mitigation: Use volatility scaling or stop-loss rules to exit early.

MEAN REVERSION

Medium Risk

Periods where "growth" rotates to "value". Winners become too expensive and inevitably pull back.

Valuation Ceiling

Historical Example

Tech Bubble 2000: Momentum kept buying expensive tech until valuation gravity took over.

Mitigation: Combine Momentum with Value (Buy cheap winners).

CROWDED TRADES

High Risk

When everyone follows the same signals, liquidity vanishes during exits, causing massive slippage.

Liquidity Crisis

Historical Example

Quant Quake 2007: Hedge funds liquidated same positions simultaneously, crushing momentum factors.

Mitigation: Monitor fund flows and avoid hyper-popular names.

RANGE-BOUND

Medium Risk

Sideways markets with no clear trends generate false buy/sell signals ("Whipsaws").

Whipsaw Danger

Historical Example

2011-2012 Chop: Markets moved sideways, causing trend-followers to bleed slowly from transaction costs.

Mitigation: Use longer lookback periods to filter noise.

MODULE 2.9: FAILURE MODES

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Module 2: Knowledge Check

STRATEGY ALIGNMENT

Quiz 11

SCENARIO: CROSS-SECTIONAL RANKING

You're implementing a cross-sectional momentum strategy with 100 stocks ranked by 6-month returns. Which approach is MOST aligned with Jegadeesh & Titman's findings?

A

Buy top 5 winners only

Concentrated Portfolio

B

Buy top 30%, Sell bottom 30%

Diversified Long/Short

C

Buy all positive returns

Absolute Momentum Only

D

Hold positions for 5+ years

Long-term Investing

CORRECT: DIVERSIFIED LONG/SHORT

Why? Jegadeesh & Titman (1993) demonstrated that a diversified winner-minus-loser portfolio (deciles or top/bottom 30%) generates the most robust returns (~1%/month) over intermediate horizons (3-12 months).

Reduces Idiosyncratic Risk
Market Neutral Potential

MODULE 2.10: COMPREHENSION

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Module 2: Summary

KEY TAKEAWAYS

Concept 10

PROVEN ANOMALY

Momentum is a persistent market phenomenon backed by 30+ years of academic research (Jegadeesh & Titman).

TWO FLAVORS

Time-Series (Trend Following) vs. Cross-Sectional (Relative Strength). Know the difference.

OPTIMAL CONDITIONS

Works best in trending markets over 3-12 month horizons. Requires intermediate rebalancing.

FAILURE MODES

Fails during sharp reversals, crowded trades, and mean-reversion periods. Watch out for whipsaws.

DISCIPLINE IS KEY

Strictly follow rules, rebalance monthly, and cut losers. Emotional trading destroys momentum edge.

STRATEGY COMBINATION

Combine with Value or Quality factors to smooth out drawdowns and improve risk-adjusted returns.

Risk Disclosure

"Past performance does not guarantee future results. Always manage risk and size positions appropriately."

MODULE 2: MOMENTUM TRADING COMPLETE

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