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Record W278630468

Probabilistic Investing: Or How to Win the Globe and Mail's Stock Picking Contest (50% of the Time)

2005· article· en· W278630468 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFinancial Services Review · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Markets and Investment Strategies
Canadian institutionsYork University
Fundersnot available
KeywordsCONTESTNewspaperGlobeStock (firearms)EconomicsStock exchangeBusinessFinanceAdvertisingPolitical scienceHistoryPsychologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Abstract For the past nine years the Globe and Mail (Canada's oldest national daily) newspaper has held an annual stock picking contest. In 2002, 2003, and then again in 2004, a finance professor won this contest. Motivated and inspired by the contest, this article shows that a rational player can increase the odds of winning an investment contest to a 50/50 chance by selecting a stock that (1) is highly volatile, and (2) negatively correlated with the other selections, or (3) exhibits a negative empirical beta. We conclude by arguing that picking stocks to win an investment game or contest is quite different from selecting securities for a personal investment portfolio. © 2005 Academy of Financial Services. All rights reserved. Jel classifications: D14; G11 Keywords: Personal finance; Investment decisions; Portfolio management 1. Introduction For the past nine years, the Globe and Mail (Canada's oldest national daily) newspaper has held an annual stock picking contest entitled My One and Only. In this competition, which starts on January 1 of each year, a variety of financial commentators, money managers, and academics are asked to select one stock (from the universe of stocks trading above $1) of any public company quoted on the Toronto Stock Exchange (TSE). In addition to human participants, a completely random selection is added to the competition as well, usually chosen by a child or a mechanical toy. The performance of all entries are tracked daily on a popular web site and reported on quarterly in the printed version of the newspaper. The formal winner of the contest is the sole individual with the best performing stock at the end of the year, based on the last day of trading for the year. The final results of the contest are announced with much fanfare and publicity on the front page of the Report on Business section in the first week of the subsequent year. Aside from the extensive publicity (negative or positive) from being part of the game, the winner's only reward is a coffee mug, compliments of the Globe and MaU. There are no financial rewards or penalties for placing second, third, or dead last In 2002, 2003, and men again in 2004, a finance professor at one of Canada's leading business schools (and one of the authors of this article) won the contest by beating all other participants, as well as the TSE market index by a wide margin. And, although it is easy to dismiss such results as completely attributable to luck, the main thesis of this article is mat there is, in fact, a well-developed theory behind optimal behavior in such a contest A rational and cognizant player can substantially increase the odds of winning the investment contait by playing the game optimally. We will review this theory in detail and stress the practical insight that picking stocks to win an investment game is quite different from selecting securities for a personal investment portfolio. In other words, motivated by this investment contest and the surrounding public interest, our article takes the opportunity to review the theory of probabilistic investment games and provide some anecdotal evidence as well as rigorous insights into the best way to win the Globe and Mail's stock picking contest We show that a rational player can increase the odds of winning the investment contest (to a 50/50 chance) by selecting a stock that (1) is highly volatile, and (2) negatively correlated with the other selections, or (3) exhibits a negative empirical beta. And, although the first ingredient might be intuitively obvious, the second and third are not Our main practical objective, however, is to illustrate the critical difference between a rational and prudent strategy for building wealth versus the optimal strategy for picking stocks in these all-or-nothing contests. And, although there are many such investment games in existence (e.g., the Wall Street JournaTs quarterly analyst versus dartboard contest) the national stature and exposure of the Globe and Mail contest makes this an ideal case study. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.227
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it