Behavioral Finance 2010
DOI: 10.1002/9781118258415.ch7
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Experimental Finance

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Cited by 32 publications
(21 citation statements)
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“…In this case, there would only be a need to use one of these tests. 47 A profile plot graphs the means of the response variable for each of the factor/level combinations or treatments. For example, this paper's second hypothesis consists of two factors (i.e.…”
Section: Resultsmentioning
confidence: 99%
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“…In this case, there would only be a need to use one of these tests. 47 A profile plot graphs the means of the response variable for each of the factor/level combinations or treatments. For example, this paper's second hypothesis consists of two factors (i.e.…”
Section: Resultsmentioning
confidence: 99%
“…Notwithstanding the importance of adequate training, financial experiments must offer participants monetary incentives. The fundamental method of experimental economics is to create a setting that implements some institutional features of interest and then provide participants with incentives to maximize utility within that setting [47]. To create these incentives, I adopt the reward structure in [39].…”
Section: Subjects Training and Incentivesmentioning
confidence: 99%
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“…Moreover, experimental finance has its own journal, the Journal of Behavioral and Experimental Finance. Computational economics (including computational financial economics) is also a well know active field (Amman et al, 1996;Bloomfield, 2010;Miranda & Fackler, 2002) with its own journals like the Computational Economics (the journal of the Society for Computational Economics) or the Journal of Economic Dynamics and Control. However, by making wrongfully comparisons between two different conceptual levels, many econophysicists fuel the misunderstanding: indeed, it is very common for econophysicists to compare the results of their statistical models with the theoretical framework of financial economics (efficient market hypothesis).…”
Section: Iii) Comparing Apples With Pearsmentioning
confidence: 99%
“…This results in the situation where any interpretation of the results may not be convincing as it does not take into account the various other variables that have changed. It is important to note that the traditional data analysis has various issues including omitted-variables biases, self-selection biases, unobservable independent variables, and some unobservable dependent variables (Bloomfield & Anderson, 2010). However, the properly designed experiments are able to avoid several problems (Bloomfield & Anderson, 2010 dependent variable.…”
Section: Advantages Of the Experimental Financementioning
confidence: 99%