| Course | GB792 Advanced Topics in Finance |
|---|---|
| Unit | Unit 2 |
| Paper type | Empirical study critique |
| Length | About 1,130 words, 7 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | MBA |
| Updated | October 2026 |
Free sample paper for GB792 Unit 2
What Else Separates Winners From Losers: A Unit 2 Critique of Jegadeesh and Titman (1993)
[Student Name]
Purdue University Global
GB792: Advanced Topics in Finance
Unit 2 Empirical Study Critique
[Instructor Name]
[Date]
This critique concerns a real published study; its reading of the design and its rivals is the candidate's.
The Study
The article under review is Jegadeesh and Titman (1993), given in full in the reference list.
Part One: The Claim and the Design
The claim can be stated in a sentence: stocks that performed well over the past three to twelve months continue to outperform stocks that performed poorly, over the following three to twelve months. The authors interpreted the pattern as evidence that investors underreact to information, so that prices move toward value gradually.
The design was a set of portfolio strategies. Using New York and American Stock Exchange stocks from 1965 to 1989, each month the authors ranked stocks on their returns over a formation period of three, six, nine or twelve months, sorted them into ten deciles, bought the top decile and sold the bottom, and held the positions for a holding period of three to twelve months. Because a new portfolio was formed each month and held for several, the strategies overlapped. Each strategy was run twice, once starting immediately and once skipping a week between formation and holding, to separate the result from short-term reversals caused by bid-ask bounce. The six-month formation, six-month holding strategy earned close to 1 percent a month, about 12 percent a year.
Part Two: The Central Comparison
Everything in the paper rests on one comparison: the future returns of the winner decile against those of the loser decile. The groups were formed only on past returns, but stocks that had very high or very low past returns may differ from each other in other ways too. If any of those other differences predicts future returns, it could produce the spread without any underreaction. A critique must therefore ask what else differs between the two deciles and whether the paper rules each difference out.
Part Three: Five Rival Explanations
First, systematic risk. If winners carried more market risk than losers, the spread could be compensation for risk. The paper tested this directly by estimating the betas of the portfolios and found that the losers, not the winners, had the higher betas. On this evidence, risk as measured by the market model works against the result rather than explaining it.
Second, persistent differences in expected returns. Conrad and Kaul (1998) argued that momentum profits could arise if stocks differ permanently in their expected returns. Ranking on past returns would then sort high expected return stocks into the winner decile, and they would keep earning high returns, not because of underreaction but because of what they are. This explanation makes a prediction the paper's own evidence can test: if winners are simply high expected return stocks, the spread should persist indefinitely. Jegadeesh and Titman reported that part of the first-year gain reversed over the following two years, and their 2001 follow-up strengthened that finding. Reversal is hard to reconcile with permanent differences in expected returns.
Third, industry concentration. Winners and losers may come from different industries. Moskowitz and Grinblatt (1999) found that much of the momentum effect could be attributed to industry momentum, in which whole industries continue their past performance. That finding does not overturn the result, but it changes its interpretation, since underreaction to industry news is a different story from underreaction to firm-specific information.
Fourth, microstructure. Extreme past returns are more common among small, illiquid stocks, where bid-ask bounce can produce apparent reversals and continuations. The one-week skip addresses the reversal problem, and the authors reported that results held when small firms were excluded, which limits this explanation.
Fifth, trading costs. Lesmond et al. (2004) argued that the stocks generating momentum profits, especially losers, are small and expensive to trade, and that once realistic costs are deducted the profits largely disappear. This rival does not deny the pattern in prices; it denies that the pattern could be exploited. That distinction matters for interpretation: a pattern too costly to trade on is consistent with a market in which no one can profit, even if prices are not perfectly efficient.
Each rival is useful only if it makes a prediction the paper's own tables could confirm or refute, and the reversal evidence is what defeats the expected-return explanation.
Part Four: Economic Magnitude
A return of about 1 percent a month before costs is large by the standards of asset pricing. The question is how much survives. The strategy trades heavily, since portfolios are re-formed monthly, and short positions in small loser stocks are costly to maintain. The paper did not deduct trading costs in its main results. Estimates in later work vary with assumptions about costs and portfolio construction, and the profits are larger when the strategy is confined to larger, more liquid stocks, where costs are lower. The economic significance of the result therefore depends on implementation, and a fair reading separates the pricing pattern from the trading opportunity.
A Note on the Sample Period
The sample ended in 1989, and a critique should ask whether anything about 1965 to 1989 could have produced the result on its own. The period includes the high-inflation 1970s and the 1987 crash, and a pattern found in one twenty-five-year window could, in principle, be a feature of that window. The paper offered some protection by reporting results across subperiods, which showed the pattern in each. The stronger protection came later and from outside the paper: the authors' own test on the 1990s and studies of other national markets, which found the pattern in data the original authors never saw. Those later tests belong to another unit, yet they bear on how much weight the 1993 evidence can carry by itself.
What the Paper Establishes
The 1993 results support a strong claim about prices: over 1965 to 1989, past winners outperformed past losers over horizons of three to twelve months, and the difference is not explained by market risk or by small-stock microstructure. The reversal evidence makes the persistent expected-return explanation unlikely.
The interpretation reaches further than the evidence. Underreaction is consistent with the pattern, but the paper did not test it directly; it inferred it from the absence of alternative explanations. Industry momentum, later documented, shows that the information investors underreact to may be broader than the firm-level news the paper had in mind. And the trading cost evidence suggests that the pattern, though real, may not offer a profitable strategy to most investors. The paper established a fact about returns that later research has found remarkably durable. It proposed, but did not establish, the reason for it.
References
Conrad, J., & Kaul, G. (1998). An anatomy of trading strategies. Review of Financial Studies, 11(3), 489-519. https://doi.org/10.1093/rfs/11.3.489
Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. The Journal of Finance, 48(1), 65-91. https://doi.org/10.1111/j.1540-6261.1993.tb04702.x
Lesmond, D. A., Schill, M. J., & Zhou, C. (2004). The illusory nature of momentum profits. Journal of Financial Economics, 71(2), 349-380. https://doi.org/10.1016/S0304-405X(03)00206-X
Moskowitz, T. J., & Grinblatt, M. (1999). Do industries explain momentum? The Journal of Finance, 54(4), 1249-1290. https://doi.org/10.1111/0022-1082.00146
The Purdue Global GB792 Unit 2 instructions
Unit 2 of GB792 asks you to critique one influential empirical study in finance. Cite the study and restate its claim in a sentence. Describe the design exactly: sample, period, sorting and holding rules and any adjustments made for microstructure. Identify the central comparison on which the conclusions rest. Then propose rival explanations that could produce the same result, and phrase each as a prediction the paper's own evidence could confirm or refute. Report what the paper's tables, or later research, show for each rival. Assess economic magnitude, including what trading costs would leave. Consider whether anything about the sample period could have produced the result. Close with a verdict that separates what the evidence supports from what the authors inferred. Seven pages under a full citation is typical for this assignment.
How this GB792 Unit 2 example is built
The critique states the claim, then describes the overlapping decile portfolios, the formation and holding periods and the one-week skip. Part two names the winner-loser spread as the comparison everything rests on. Part three takes five rivals in turn: losers' higher betas defeat the risk story, the reversal in years two and three defeats Conrad and Kaul's expected-return story, Moskowitz and Grinblatt's industry momentum changes the interpretation, the skip and size results limit microstructure, and Lesmond and colleagues' costs challenge exploitability. The highlighted sentence explains why each rival must make a testable prediction. Part four weighs magnitude, a section considers the sample period, and the verdict separates the durable fact from the underreaction story.
Reading the GB792 Unit 2 grading rubric
GB792 instructors grade the critique on the quality of its rival explanations. Rivals earn most credit when each is phrased as a prediction the evidence can test, and less when listed as general concerns. Isolating the central comparison is weighted because it shows the student knows where a rival must attack. An exact description of the design, including holding rules and adjustments, is expected before any criticism. Using the paper's own results, and later work such as follow-up tests, to adjudicate rivals shows command of the literature. Attention to economic magnitude after costs is a separate rubric line in most sections. The verdict is graded on whether it distinguishes the documented pattern from the interpretation the authors attached to it.
Common GB792 Unit 2 mistakes, and how to avoid them
Many GB792 critiques summarize the momentum paper and then say it may suffer from data mining or small samples, without specifying any rival that could produce the result. Others treat Conrad and Kaul's argument as decisive without noticing that it predicts persistence, which the reversal evidence contradicts. Industry momentum is often presented as a refutation when it is a refinement. Trading costs are sometimes confused with mispricing, though a costly pattern can still be a pricing fact. Verdicts tend to accept or reject the paper whole. Describe the design, name the central comparison, phrase each rival as a test, check it against the evidence, assess costs and separate fact from mechanism. For a different assigned paper, a writer can locate its central comparison and build the critique from there.
Get a GB792 Unit 2 example written to your instructions
Which published finance paper has your section assigned? Pass along the article itself, or just the citation, plus the Unit 2 prompt and rubric. The finished critique restates the design exactly, names the central comparison and sets every rival explanation up as a testable prediction. A first custom sample is prepared at no charge and turned around in 24-48h as a rule. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
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GB792 Unit 2 questions, answered
Is it fair to critique a paper using evidence published after it?
Yes, if the critique keeps two judgments apart. Whether the design answered its own question is judged on what the authors could have done in 1993. Whether the interpretation has held up can draw on later work, such as industry momentum or cost studies. This sample labels which paragraphs make which judgment, so hindsight is never mistaken for a design flaw.
How much of the paper's statistics does the critique reproduce?
None, in most sections. What matters is reading the tables correctly: what a monthly return on a zero-cost portfolio means, why overlapping holding periods affect standard errors, and which columns report risk-adjusted figures. A strong critique explains those readings in plain terms instead of rerunning the estimation, and this sample does exactly that throughout its design section.
Why focus on one comparison rather than the whole paper?
Because a paper's evidence usually rests on a single contrast, with everything else serving as robustness around it. Here that contrast is the extreme-decile spread. A critique spreading attention evenly across every table tends to miss the rival explanation that matters most, while one anchored on the central comparison can test each rival against exactly what it must explain.
Where can I find a free GB792 Unit 2 sample paper?
A complete GB792 Unit 2 empirical study critique is on this page, testing five rival explanations against Jegadeesh and Titman's 1993 momentum result.
Why does the reversal of momentum profits matter?
If winners simply had permanently higher expected returns, their outperformance should persist. Jegadeesh and Titman found part of the first-year gain reversed later, which is hard to reconcile with that explanation.