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Record W2341233898 · doi:10.14288/1.0101207

The effect of price earnings ratio on investment decisions in trusteed pension plans

2011· article· en· W2341233898 on OpenAlexaboutno aff
Mervyn Frederick Thurgood

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsEconomicsInvestment (military)PensionBusinessActuarial scienceMonetary economicsFinance

Abstract

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To what extent does the Price to Earnings Ratio affect the investment decisions of those who manage Trusteed Pension Funds in Canada? Secondly: What are the dangers of ignoring this index when trading in common stocks for pension plans? METHODOLOGY A complete study of Canadian pension funds and the methods of funding was made in order to get a thorough understanding of pensions in Canada. Trusteed pensions fall into two categories: - the Money Purchase Plans. - the Definite Benefit Plans. The Trusteed pension was studied from the point of view of costs and benefits, emphasizing the importance of investment yields. A study of the Price Earnings Ratio per se., was made. The study includes the examination of accounting methods used to determine earnings per share. The next step was to determine and understand the relationship of the Price Earnings Ratio to corporate growth. A further step was to determine the variables contributing to sustained corporate growth. A study of the usefulness of the Price Earnings Ratio as a valuation tool was made, based on the works of leading writers in this field. The use made of the Price Earnings Ratio by investment managers in practice was examined, as well as the whole decision making process. This was achieved through personal interviews and by questionnaires. From the information received, a summary was prepared on the decision making process and the role of the Price Earnings Ratio in that process. Various data concerning pension portfolio stocks, Price Earnings Ratios and performance, was collected and summarized in the appendices. CONCLUSIONS It was concluded that: - Considering the cost of a pension, the two most important variables are expense and earnings; of the two, investment yield or earnings has the greatest effect on reducing costs. - In determining earnings per share, not only primary E.P.S. but also fully diluted E.P.S. should be determined and compared. - The Price Earnings Ratio is a concept consistent with the present value formulae and assumes combinations of earnings, growth, duration, discount and dividend payouts. It is important that investment managers understand this. - Sustainable growth is dependent primarily on margin, turnover, leverage and taxes. - Statistical studies have shown that low Price Earnings Ratio stocks consistently outperform high Price Earnings Ratio stocks. - The decision making process places great emphasis on Fundamental Analysis and the Price Earnings Ratio. - When considering the Price Earnings Ratio, the analyst will study it in relation to the popular indices, other companies in the industry and in relation to the companies projected growth rates. RECOMMENDATIONS Unless there is strong evidence to the contrary, a stock with a low Price Earnings Ratio should be purchased in preference to a stock with a high Price Earnings Ratio, particularly if the stock meets these conditions: - A consistently high earnings record in past years. - There is no evidence of an earnings decline in future years. - The quality of management is high. - There is a relatively high margin and turnover.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.794

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.173
Teacher spread0.162 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2011
Admission routes1
Has abstractyes

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