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Record W2087241853 · doi:10.1108/15265940810853931

Asian options versus vanilla options: a boundary analysis

2008· article· en· W2087241853 on OpenAlexaff
George L. Ye

Bibliographic record

VenueThe Journal of Risk Finance · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicStochastic processes and financial applications
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsAsian optionExotic optionValuation of optionsDividendEconomicsDividend yieldFinancial economicsStock (firearms)Put optionInterest rateStrike priceBinomial options pricing modelBlack–Scholes modelVolatility (finance)Non-qualified stock optionOption valueOriginalityEconometricsRestricted stockMicroeconomicsDividend policyMonetary economicsFinanceStock market

Abstract

fetched live from OpenAlex

Purpose The purpose of the paper is to correct a commonly mistaken notion that an Asian option is always cheaper than its plain vanilla European counterpart in a general setting. Design/methodology/approach The paper shows that by letting volatility go to zero, the lower bounds of Asian options and vanilla options are derived. Those bounds are then compared. Findings The paper finds that the notion can be violated for call options when the dividend yield of the underlying stock is higher than the interest rate, as well as for put options when the dividend yield of the underlying stock is lower than the interest rate. Research limitations/implications The approach used in this paper, boundary analysis, can be applied to other exotic options. Practical implications The results in the paper may affect decisions on trading Asian options. Originality/value The paper will be of value to those interested in using/pricing/hedging Asian options.

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)0.005
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0050.007
Open science0.0020.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.000

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 head0.029
GPT teacher head0.238
Teacher spread0.209 · 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 designTheoretical or conceptual
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".

Quick stats

Citations6
Published2008
Admission routes1
Has abstractyes

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