John Gould

Dr. John Gould

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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 1997 in Continental Shelf Research
Verified
Journal Article
Closed access
Charitha PattiaratchiCharitha Pattiaratchi
Charitha Pattiaratchi
BHBruce Hegge
Bruce Hegge
JGJohn Gould
John Gould
IEIan Eliot
Ian Eliot

1 August 2011 in The European Journal of Finance
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Journal Article
Open access
RDRobert B. Durand
Robert B. Durand
JGJohn Gould
John Gould
Ross MallerRoss Maller
Ross Maller
Alexander and Baptista [2002. Economic implications of using a mean-value-at-risk (VaR) model for portfolio selection: A comparison with mean–variance analysis. Journal of Economic Dynamics and Control 26: 1159–93] develop the concept of mean-VaR efficiency for portfolios and demonstrate its very close connection with mean–variance efficiency. In particular, they identify the minimum VaR portfolio as a special type of mean–variance efficient portfolio. Our empirical analysis finds that, for commonly used VaR breach probabilities, minimum VaR portfolios yield ex post returns that conform well with the specified VaR breach probabilities and with return/risk expectations. These results provide a considerable extension of evidence supporting the empirical validity and tractability of the mean-VaR efficiency concept.

27 September 2022 in International Review of Economics & Finance
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Journal Article
Closed access
JGJohn Gould
John Gould
JYJoey Yang
Joey Yang
RSRanjodh Singh
Ranjodh Singh
BYBen Yeo
Ben Yeo

1 January 2022 in Critical Finance Review
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Journal Article
Closed access
PDF file
JGJake Gorman
Jake Gorman
FAFarida Akhtar
Farida Akhtar
RDRobert B. Durand
Robert B. Durand
JGJohn Gould
John Gould
Publishers of Foundations and Trends, making research accessible

17 August 2010 in Mathematical Methods of Operations Research
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Journal Article
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SDSascha Desmettre
Sascha Desmettre
JGJohn Gould
John Gould
ASAlexander Szimayer
Alexander Szimayer

8 June 2015 in Review of Behavioral Finance
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Journal Article
Closed access
MBMikael Boisen
Mikael Boisen
RDRobert B. Durand
Robert B. Durand
JGJohn Gould
John Gould
Purpose: – The purpose of this paper is to investigate a unique sample of lottery-like stocks and contextualize their short-run price behavior with respect to behavioral principles. Design/methodology/approach: – The authors conduct a short-run event-study of the abnormal returns for stock market investments in Australian small-cap oil and gas (O & G) explorers centered on the drilling commencement (spudding) of 157 wildcat oil or gas wells drilled between January 2000 and June 2010. Findings: – Small-cap stock market investments associated with newly spudded wildcat O & G wells are negative NPV gambles rather than fair (zero NPV) investments. Once a wildcat well is spudded, the 30-day expected abnormal return is 6-8 percent: wealth-maximizing stockholders are advised to sell upon news of spudding, but gamblers may wish to hold on for the chance of a 10.6 percent 30-day average abnormal return (if the well is not plugged and abandoned). In the lead-up to each gamble the authors observe a significant pre-spudding stock price run-up on average, perhaps indicative of positively affected investors aroused by an easily imagined successful wildcat gusher as per evidence on the influence of image and affect on investors’ decisions (MacGregor et al., 2000; Loewenstein et al., 2001; Rottenstreich and Hsee, 2001; Peterson, 2002). Originality/value: – The wildcat drilling events considered in this paper are lottery-like by nature, and spudding represents the distinct moment when the gamble is unambiguously on, following shortly on from which investors either strike it lucky or strike out. The specifically small-cap wildcatters are typically heavily vested in one well at a time, therefore the sample stocks are uniquely lottery like. This differs from other studies which infer the lottery-like nature of their sample stocks from characteristics such as price and idiosyncratic volatility.