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Record W2156668621 · doi:10.3905/jod.2006.667551

Testing the Monotonicity Property of Option Prices

2006· article· en· W2156668621 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.

Bibliographic record

VenueThe Journal of Derivatives · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicStochastic processes and financial applications
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsValuation (finance)EconomicsAsk priceCall optionValuation of optionsOrder (exchange)Exotic optionBinary optionValue (mathematics)Asian optionFinancial economicsIndex (typography)Bid priceActuarial scienceEconometricsComputer scienceFinance

Abstract

fetched live from OpenAlex

One of the most basic properties of rational option pricing is that a rise in the price of the underlying increases the value of a call and decreases the value of a put. But results reported in the literature have found that for options on the S&P 500 Index this principle is violated in practice on the order of 10 percent of the time. Should we interpret this as evidence that the options market often ignores a fundamental principle of option valuation? Or that new option models are needed that would allow such seemingly anomalous behavior? In this article, Pérignon helps to resolve this issue using transactions-level data from five major index-options markets. He finds that wrong-way option price changes do occur in all of them a substantial fraction of the time. But looking for the explanation behind the numbers, he shows that market microstructure effects, like bid-ask bounce and rational tactics for trading in a market with a wide bid-ask spread, appear to account for much of the phenomenon. <bold>TOPICS:</bold> <ext-link>Options</ext-link>, <ext-link>security analysis and valuation</ext-link>

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.506
Threshold uncertainty score0.107

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.045
GPT teacher head0.228
Teacher spread0.184 · 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