2015
DOI: 10.1016/j.jmoneco.2015.09.009
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Can a financial transaction tax prevent stock price booms?

Abstract: We present a stock market model that quantitatively replicates the joint behavior of stock prices, trading volume and investor expectations. Stock prices in the model occasionally display belief-driven boom and bust cycles that delink asset prices from fundamentals and redistribute considerable amounts of wealth from less to more experienced investors. Although gains from trade arise only from subjective belief di¤erences, introducing …nancial transactions taxes (FTTs) remains undesirable. While FTTs reduce th… Show more

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Cited by 27 publications
(33 citation statements)
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“…Table 9 reports the expected discounted utility of agents that use current and lagged belief updating for different values of α and for the two considered selection rules. 96 It shows that independently of the selection rule and independently of the share of current updaters α , utility of lagged updaters always exceeds that of current 93 This finding is in line with results reported in Adam et al (2015), who show that agents whose beliefs are more reactive to price growth observations tend to do worse than agents whose beliefs display less sensitivity. 94 Updaters using current price information update beliefs according to equation (39), but replace ln P t−1 /ln P t−2 by ln P t /ln P t−1 on the right-hand side.…”
Section: Current Price Information For Belief Updatingsupporting
confidence: 53%
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“…Table 9 reports the expected discounted utility of agents that use current and lagged belief updating for different values of α and for the two considered selection rules. 96 It shows that independently of the selection rule and independently of the share of current updaters α , utility of lagged updaters always exceeds that of current 93 This finding is in line with results reported in Adam et al (2015), who show that agents whose beliefs are more reactive to price growth observations tend to do worse than agents whose beliefs display less sensitivity. 94 Updaters using current price information update beliefs according to equation (39), but replace ln P t−1 /ln P t−2 by ln P t /ln P t−1 on the right-hand side.…”
Section: Current Price Information For Belief Updatingsupporting
confidence: 53%
“…In deriving our results, we assumed that all agents in the economy become more (or less) optimistic when observing capital gains above (or below) their expectations. While the quantitative model predictions survive when investors are heterogeneous in the degree to which they respond to observed capital gains (see Adam et al 2015), it appears of interest to assess the potential price impact generated by speculators with rational price expectations. While rational speculators can contribute to price destabilization, as in De Long et al (1990), they may also help with price stabilization, as in Barberis et al (2015).…”
Section: Discussionmentioning
confidence: 99%
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“…Our results also apply if we use financial transaction tax instead. For discussions of the financial transaction tax, see Adam et al (2015).…”
mentioning
confidence: 99%
“…The famous admission of Greenspan (2008) that he had "made a mistake in presuming that the self-interest of organisations, specifically banks, is such that they were best capable of protecting shareholders and equity in the firms" was an ex post acknowledgement that regulators had overestimated the resilence of the financial system in the run-up to the crisis. 7 An example of such an industry is the rapidly growing online finance industry in China. As reported by the Financial Times on March 20, 2017, China's digital payments market has exploded to about 50 times the size of that in the United States.…”
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confidence: 99%