With the increasing demand for sustainable products, greenwashing has become more prevalent and sophisticated over the past decade. To better understand the incentives for firms to greenwash, we develop an evolutionary game-theoretic model in which firms may choose to mimic green behavior without having to bear the cost linked to green investment and production. We provide the conditions for the different evolutionarily stable equilibria. In a second step, we extend the model using agent-based simulations to incorporate path-dependent investment/production costs, history-dependent mimicry effectiveness, peer effects, and localized firm interactions. We show that the simpler model with random matching offers good approximations of the equilibrium conditions in more complex setups, but market segmentation supports green investment and production in contrast to higher penalties. While curtailing opportunities to pretend green behavior boosts green production, we also find that increasing cost efficiencies encourage firms to engage in green production, even in the face of increasingly sophisticated deceptive strategies. Based on our results, we suggest trio-targeted policies that reduce the (initial) costs of green investment/production, curtail opportunities to mimic green behavior, and support segmentation.

Studies of experimental and betting markets have shown that markets are able to efficiently aggregate information dispersed over many traders. We study information aggregation in Arrow–Debreu markets using a novel information structure. Compared to previous studies, the information structure is more complex, allows for heterogeneity in information among traders—which provides insights into the way in which information is gradually disseminated in the market—and generates situations in which all traders hold identical beliefs over the traded assets’ values, thus providing a harsh stress test for belief updating. We find little evidence for information aggregation and dissemination in early rounds. Nonetheless, after traders gain experience with the market mechanism and structure, prices converge to reveal the true state of the world. Elicited post-market beliefs reveal that markets are able to efficiently aggregate dispersed information even if individual traders remain uninformed, consistent with the marginal trader hypothesis.

When the information of many individuals is pooled, the resulting aggregate often is a good predictor of unknown quantities or facts. This aggregate predictor frequently outperforms the forecasts of experts or even the best individual forecast included in the aggregation process (“wisdom of crowds”). However, an appropriate aggregation mechanism is considered crucial to reaping the benefits of a “wise crowd”. Of the many possible ways to aggregate individual forecasts, we compare (uncensored and censored) arithmetic and geometric mean and median, continuous double auction market prices and sealed bid-offer call market prices in a controlled experiment. We use an asymmetric information structure, where participants know different sub-sets of the total information needed to exactly calculate the asset value to be estimated. We find that prices from continuous double auction markets clearly outperform all alternative approaches for aggregating dispersed information and that information lets only the best-informed participants generate excess returns.

Monetary incentives are a procedural pillar in experimental economics. By applying four distinct monetary incentive schemes in three experimental finance applications, we investigate the impact of an incentive scheme’s salience on results and elicit subjects’ perception of the experienced scheme. We find (1) no differences in results between salient schemes but a significant impact if the incentive scheme is non-salient. (2) The number of previous participations has a significant impact on the perception of the incentive scheme by subjects: it strongly correlates with subjects’ motives for participation, positively contributes to subjects’ understanding of the incentive scheme, but has no influence on subjects’ motivation within the experiment. (3) Subjects favor more salient over less- or non-salient schemes in the gain domain and negatively evaluate high salience in the loss domain.

We implement a laboratory financial market where traders can access costly technology that reduces communication latency with a remote exchange. In this environment, we conduct a market design study on high-frequency trading: we contrast the performance of the newly proposed frequent batch auction (FBA) against the continuous double auction (CDA), which organizes trades in most exchanges worldwide. Our evidence suggests that, relative to the CDA, the FBA exhibits (1) less predatory trading behavior, (2) lower investments in low-latency communication technology, (3) lower transaction costs, and (4) lower volatility in market spreads and liquidity. We also find that transitory shocks in the environment have substantially greater impact on market dynamics in the CDA than in the FBA.

In this paper, we present experimental evidence on the effect adverse selection has on coverage choices and pricing in corporate insurance markets. Two sets of experimental data, each generated by experiments utilizing a specific parameterization of a corporate insurance decision, are presented to gauge these effects. In the first, subject behavior conforms to a unique equilibrium in which high risk firms choose higher coverage and contracts are priced accordingly. Insurers act competitively and convergence to equilibrium behavior is marked. In the second set, there is little evidence that subject behavior is consistent with either of the two equilibrium outcomes supported by the experimental setting—pooling by fully insuring losses and pooling by self insuring.

Policies such as the SEC's Fair Disclosure Rule, and technologies such as SEC EDGAR, aim to disseminate corporate disclosures to a wider audience of investors in risky assets. In this study, we adopt an experimental approach to measure whether this wider disclosure is beneficial to these investors. Price-clearing equilibrium models based on utility maximization and non-revealing and fully-revealing prices predict that in a pure exchange economy, an arbitrary trader would prefer that no investors are informed rather than all are informed; non-revealing theory further predicts that an arbitrary trader would prefer a situation in which all traders are informed rather than half the traders are informed. These predictions can be summarized as “None > All > Half”. A laboratory study was conducted to test these predictions. Where previous studies have largely focused on information dissemination and its effects on equilibrium price and insider profits, we focus instead on traders’ expected utility, as measured by their preferences for markets in which none, half, or all traders are informed. Our experimental result contradicts the prediction and indicates “Half > None > All”, i.e. subjects favor a situation where a random half is informed. The implication is that in addition to testing predictions of price equilibrium, experiments should also be used to verify analytical welfare predictions of expected utility under different policy choices.

This paper is the first experimental study of the effects of competition and adverse selection on the performance of market maker (MM-) markets. Information distribution may is either symmetric or heterogeneous. MM-markets are either monopolistic (the specialist markets), or competitive (the multi MM-market). Welfare comparisons are with respect to a continuous double auction (DA-) market. Informed subjects receive an imperfect signal of the true state of the world. We find three main results. First, competition among market makers significantly reduces the bid-ask spread, and increases transaction volume. Second, competition among market makers induces competitive undercutting, yielding net trading losses for market makers as a group in most periods. Third, from the perspective of uninformed traders, a competing MM-regime is optimal, since it minimizes their expected trading losses.

We review bubble measures which are commonly used in the experimental asset market literature. It seems sensible to require that measures of mispricing should (i) relate the fundamental value and price, (ii) be monotone in the difference between fundamental value and price, and (iii) be independent of the total number of periods and the absolute level of fundamental value. We show that none of the measures currently used fulfills all these criteria. To facilitate comparability across different experimental settings with different parameterizations we propose two alternative measures which fulfill all evaluation criteria. The measure for mispricing, RAD (relative absolute deviation), is calculated by averaging absolute differences between the (volume-weighted) mean price and the fundamental value across all periods and normalizing it with the absolute value of the average FV of the market. The measure for overvaluation, RD (relative deviation), is calculated analogously, but uses raw difference between (volume-weighted) mean prices and fundamental values. Hence, it provides information on whether the mispricing stems from over- or undervaluation of the asset.

We study with the help of a laboratory experiment the conditions under which an uninformed manipulator—a robot trader that unconditionally buys several shares of a common value asset in the beginning of a trading period and unwinds this position later on—is able to induce higher asset prices. We find that the average price is significantly higher in the presence of the manipulator if and only if the asset takes the lowest possible value and insiders receive perfect information about the true value of the asset. It is also evidenced that the robot trader makes trading gains. Finally, both uninformed and partially informed traders may suffer from the presence of the robot.

We study price efficiency and trading behavior in laboratory limit order markets with asymmetrically informed traders. Markets differ in the number of insiders present and in the subset of traders who receive information about the number of insiders present. We observe that price efficiency (i) is the higher the higher the number of insiders in the market but (ii) is unaffected by changes in the subset of traders who know about the number of insiders present. (iii) Independent of the number of insiders, price efficiency increases gradually over time. (iv) The insiders’ information is reflected in prices via limit (market) orders if the asset’s value is inside (outside) the bid-ask spread. (v) In situations where limit and market orders yield positive profits, insiders clearly prefer market orders, indicating a strong desire for immediate transactions.

We study the effects of closing price manipulation in an experimental market to evaluate the social harm caused by manipulation. We find that manipulators, given incentives similar to many actual manipulation cases, decrease price accuracy and liquidity. The mere possibility of manipulation alters market participants’ behavior, leading to reduced liquidity. We find evidence that ordinary traders attempt to profitably counteract manipulation. This study provides examples of the strategies employed by manipulators, illustrates how these strategies change in the presence of detection penalties and assesses the ability of market participants to identify manipulation.

We report a laboratory experiment that investigates the impact of passive participation on bubble formation in asset markets with inexperienced and experienced traders. Some treatments employ pre-market training in which each participant is ‘matched’ with a trader from a different prior market and observes all trading details but does not directly participate in trading. We find that passive participation, similar to direct experience, significantly reduces mispricing in subsequent markets. This finding suggests that observation of prices is a key mechanism through which experience mitigates bubbles. We also vary whether transaction prices are displayed in a column of text or in a graphical display, and find that among inexperienced and once-experienced traders, markets with the tabular display result in bubbles that are greater in amplitude relative to markets with the graphical display.

Experimental asset markets with a constant fundamental value ($\mathrm{F}\mathrm{V}$) have grown in importance in recent years. A methodological examination of the robustness of experimental results in such a setting which has been shown to produce bubbles, however, is lacking. In a laboratory experiment with 280 subjects, we investigate whether specific design features are sufficient to influence experimental results. In detail, we (1) vary the visual representation of the price chart, and (2) provide subjects with full information about the FV process. We find overvaluation and bubble formation to be reduced when trading prices are displayed at the upper end of the price chart. Surprisingly, we do not find any effects when subjects have full information about the FV process.

We analyze 2017–2021 data to examine whether weekly options offer unique insights compared to regular options on grain futures. These weeklies, increasingly popular for short-term use around major United States Department of Agriculture (USDA) reports, are found to be more effective in predicting near-term volatility, challenging the conventional view of longer-dated options’ superiority. However, they overprice realized volatility by 420 basis points (bps) for corn and 280 bps for soybeans. Major USDA reports add a premium of 650 bps for corn and 240 bps for soybeans, highlighting a trend toward more time-sensitive trading strategies, though the long-term impact on market efficiency of weeklies remains subdued.

We use the 529 college savings plan setting to investigate whether and why households make suboptimal choices to invest in local assets. We estimate that 67% of open accounts between 2010 and 2020 were located suboptimally due to the plans’ tax inefficiencies and high expenses. Over the accounts’ projected lifetimes, such investments yielded expected losses of 8% on average or $15.6 billion in 2020 alone. We then investigate why suboptimal investment is so prevalent. Consistent with households’ lack of understanding of state-level tax benefits, we find that a meaningful proportion of households does not account for the potential tax benefits and costs of local versus nonlocal 529 investment. Household financial literacy and plan disclosure complexity appear to explain suboptimal investment patterns, which further supports the role of information-processing frictions. Our study presents novel evidence on individuals’ preferences for local assets and how information-processing frictions shape their investment decisions, reducing their financial well-being.

We propose a stock market model with chartists, fundamentalists and market makers. Chartists chase stock price trends, fundamentalists bet on mean reversion, and market makers adjust stock prices to reflect current excess demand. Fundamentalists’ perception of the stock market’s fundamental value is subject to animal spirits. As long as the stock market is relatively stable, fundamentalists neutrally believe in a normal fundamental value. However, fundamentalists optimistically (pessimistically) believe in a high (low) fundamental value when the stock market rises (falls) sharply. Our framework may produce boom-bust stock market dynamics that coevolve with waves of optimism and pessimism for parameter settings that would ensure globally stable stock market dynamics in the absence of animal spirits. Responsible for such a surprising outcome is the destabilizing nature of temporarily attracting virtual fixed points, brought about by animal spirits.

We examine how media reports influenced trading volumes and order imbalances on the Sydney Stock Exchange (SSX) from 1901 to 1950, focusing on wool market reports as a substitute for broader financial advice in the absence of a specialised investment press. Given wool's status as Australia's primary export and its integration with various sectors, we construct a weekly media sentiment index based on news about wool sales and auctions from the Sydney Morning Herald. Our findings reveal that positive news about the wool market correlates with increased trading volumes and reduced order imbalances on the SSX. This relationship persisted during significant events such as the UK government's wool purchase plans, the 1929 Wall Street Crash, World War II-related trading restrictions, and the short selling ban.

Our study investigates the influence of the Korean National Pension Fund's equity ownership on voting premiums, revealing a statistically significant reduction. In particular, we establish the liquidity pathway as the primary factor among the three channels previously suggested in the literature. Analysis of the COVID-19 era and the VKospi index underscores this predominance. These findings enrich the literature on public pension funds and capital markets, providing policymakers in emerging economies with a deeper understanding of the dynamics involved in establishing pension investment institutions.

This article studies a previously unknown asset market in eighteenth-century Sweden. It emerged as a result of a partial default in 1719, when large amounts of recently released fiat coins were converted into government liabilities. These could only be redeemed as a customs duty on international trade, the licent. As merchants had to acquire such assets to conduct their trade, tens of thousands of transactions were carried out on a secondary market over a period of more than 45 years. Networks of local merchants bought assets from initial holders and sold them on to intermediaries or merchants, who deposited the liabilities with a newly established government agency, the Debt Office. Here, hundreds of account holders could transfer the value of their deposits between them. When a licent payment was due, the amount was deducted from the merchant's account. Prices on the liabilities were low and sometimes volatile, but the long-term trend was rising. We have distinguished three types of market participants: a small group of very active users, most of them professional dealers or brokers; merchants who traded on a regular basis as they needed to pay the licent, or when a favorable opportunity appeared; and finally, those who traded sporadically. The emergence of this market was part of a financial expansion that occurred in many European countries at the same time, the closest equivalent being the segmented default in France after the abolition of John Law's system. This study aims to broaden our understanding of eighteenth-century financial developments, which have rarely been studied in a semi-peripheral European economy.