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Traders in global markets operate at different local times-of-day. This implies heterogeneity in circadian timing and likely sleepiness or alertness of those traders operating at less or more optimal times of the day, respectively. This, in turn, may lead to differences in both individual-level trader behavior as well as market level outcomes. We examined these factors by administering single-location and global sessions of an online asset market experiment that regularly produces mispricing and valuation bubbles. Global sessions involved real time trades between subjects in New Zealand and the U.S (i.e., “global” markets) with varied local times of day for each location. Individual traders at suboptimal times of day (or, “circadian mismatched” traders) engaged in riskier trading strategies, such as holding shares (the riskier asset) in later trading rounds and mispricing shares to a greater degree. These strategies resulted in lower earnings for circadian mismatched traders, especially in heterogeneous markets that also included traders at more optimal times-of-day. These differences were also reflected in market level outcomes. Markets with higher circadian mismatch heterogeneity across traders were more likely to exhibit longer lasting asset bubbles and greater share turnover volume. Overall, our results draw attention to a unique, but underappreciated, factor present across traders in global market environments, namely, differences in sleepiness across traders. Thus, this study hopes to highlight the role of circadian mismatch in attempting to understand trader behavior and, ultimately, market volatility.
We examine how rewards and penalties under tournament incentives impact price behaviour in experimental asset markets. Adding a penalty to a reward-only contract, or a reward to a penalty-only contract, changes the traders’ behaviour. The experimental markets with adjusted contracts experience less trading, but longer-lived and larger bubbles. This observed effect of penalties is consistent with herd-driven behaviour under relative performance evaluation, while the effect of rewards reflects the influence of the convexity of bonuses. However, these effects dissipate with trader experience. Our findings contribute to the debate attributing market instability to incentive structures in the finance industry.
In an experimental setting in which investors can entrust their money to traders, we investigate how compensation schemes affect liquidity provision and asset prices, two outcomes that are important for financial stability. Compensation schemes can drive a wedge between how investors and traders value the asset. Limited liability makes traders value the asset more than investors. To limit losses, investors should thus restrict liquidity provision to force traders to trade at a lower price. By contrast, bonus caps make traders value the asset less than investors. This should encourage liquidity provision and increase prices. In contrast to these predictions, we find that under limited liability investors increase liquidity provision and asset price bubbles are larger. Bonus caps have no clear effect on liquidity provision and they fail to tame bubbles. Overall, giving traders skin in the game fosters financial stability.
Smith et al. (Econometrica 56(5):1119, 1988) reported large bubbles and crashes in experimental asset markets, a result that has been replicated many times. Here we test whether the occurrence of bubbles depends on the experimental subjects’ cognitive sophistication. In a two-part experiment, we first run a battery of tests to assess the subjects’ cognitive sophistication and classify them into low or high levels. We then invite them separately to two asset market experiments populated only by subjects with either low or high cognitive sophistication. We observe classic bubble and crash patterns in markets populated by subjects with low levels of cognitive sophistication. Yet, no bubbles or crashes are observed with our sophisticated subjects, indicating that cognitive sophistication of the experimental market participants has a strong impact on price efficiency.
In the presence of bubbles, asset prices consist of a fundamental and a component, with the bubble component following an explosive dynamic. The general idea for bubble identification is to apply explosive root tests to a proxy of the unobservable bubble. This chapter provides a theoretical framework that incorporates several definitions of bubbles (and fundamentals) and offers guidance for selecting proxies. For explosive root tests, we introduce the recursive evolving test of Phillips, Shi, and Yu (2015a,b) along with its asymptotic properties. This procedure can serve as a real-time monitoring device and has been shown to outperform several other tests. Like all other recursive testing procedures, the PSY algorithm faces the issue of multiplicity in testing. We propose a multiple-testing algorithm to determine appropriate test critical values and show its satisfactory performance in finite samples by simulations. To illustrate, we conduct a pseudo real-time bubble monitoring exercise in the S&P 500 stock market from January 1990 to June 2020. The empirical results reveal the importance of using a good proxy for bubbles and addressing the multiplicity issue.
Electrophoretic characterization of nano- and micro-metre scaled bubbles and drops is increasingly important in environmental and health sciences. Despite more than a hundred years of study, the interpretation of bubble electrophoresis data remains an unresolved fundamental problem that bridges fluid mechanics and interfacial science. This paper examines, from a theoretical perspective, how the electrophoretic mobility of small drops and bubbles responds to the interfacial kinetic-exchange rate and interfacial-charge mobility: factors that have been largely overlooked, but which provide new insights on the interpretation of $\zeta$-potentials, which are routinely used to assess surface charge density. A variety of outcomes are demonstrated, each reflecting subtle balances of hydrodynamic and electrical forces, modulated by interfacial thermodynamics and transport. Among the findings is that irreversibly bound charge with low interfacial mobility furnishes rigid-sphere behaviour; whereas interfacial charge with high mobility produces the characteristically high electrophoretic mobilities of non-conducting, uniformly charged fluid spheres. Outcomes are more complex when drops and bubbles have interfacial charge that seeks local equilibrium with the immediately adjacent electrolyte. For example, the present model shows that interfacial-charge mobility regularizes the singular behaviour predicted by theories for fluid spheres bearing high, perfectly uniform surface charge.
Experimental asset markets with a constant fundamental value () 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.
Chapter 1 introduces the reader to macro-prudential policy and exposes the reader to the problem of persistently instable financial markets, which raise the question of if and how far the macro-prudential regulatory program post-crisis had any effect. In contrast to binary paradigm shift views, which see no to little change, I introduce a multidimensional view of regulatory change that can detect massive change in the economic ideas underlying financial regulation, while pointing to the administrative and political limitations that prevent these ideas from becoming fully performative. Pointing to these contradictions, the chapter introduces the analytical framework and the main contributions of the book, followed by an outline of the different chapters.
The South Sea Bubble of 1720 was Britain’s first modern financial crisis. This chapter uses digital tools to study the development, during the early eighteenth century, of a conceptual framework describing bubbles in the financial market. It traces the emergence of the phrase ‘South Sea Bubble’ in the months and years after the crisis, alongside the more complicated patterns of evolution in what that phrase describes, ultimately arguing that there is little resemblance between the ‘South Sea Bubble’ of the 1720s and that of the present-day historical imagination. The chapter’s final claim is that the conceptual framework underpinning how we understand present-day financial crises has its origins in the latency of the words used, at the time, to describe the emerging and interlinked crises of 1720.
This chapter highlights the strong relationship between dialogue and political moderation by drawing on the ideas of J. S. Mill’s On Liberty (1859). It makes a plea for cultivating the civil art of disagreement that is vital to our free and democratic way of life.
This book is a modern presentation of multiphase flow, from basic principles to state-of-the-art research. It explains dispersed fluid dynamics for bubbles, drops, or solid particles, incorporating detailed theory, experiments, simulations, and models while considering applications and recent cutting-edge advances. The book demonstrates the importance of multiphase flow in engineering and natural systems, considering particle size distributions, shapes, and trajectories as well as deformation of fluid particles and multiphase flow numerical methods. The scope of the book also includes coupling physics between particles and turbulence through dispersion and modulation, and specific phenomena such as gravitational settling and collisions for solid particles, drops, and bubbles. The eight course-based chapters feature over 100 homework problems, including theory-based and engineering application questions. The final three reference-based chapters provide a wide variety of particle point-force theories and models. The comprehensive coverage will give the reader a solid grounding for multiphase flow research and design, applicable to current and future engineering. This is an ideal resource for graduate students, researchers, and professionals.
In this article, we study the role that media plays during a speculative bubble on an emerging market, and in particular the London financial press’s relation to the West African mining bubble of the early twentieth century. The focus is on the leading company in this sector at the time, Ashanti Goldfields Corporation. The London financial press lacked access to independent, reliable information on the ground, so it often failed to provide readers with relevant factual information. In some instances, the press might have even fueled the speculative cycles through the reporting it provided.
Superbubbles are acyclic induced subgraphs of a digraph with single entrance and exit that naturally arise in the context of genome assembly and the analysis of genome alignments in computational biology. These structures can be computed in linear time and are confined to non-symmetric digraphs. We demonstrate empirically that graph parameters derived from superbubbles provide a convenient means of distinguishing different classes of real-world graphical models, while being largely unrelated to simple, commonly used parameters.
Why do stock and housing markets sometimes experience amazing booms followed by massive busts and why is this happening more and more frequently? In order to answer these questions, William Quinn and John D. Turner take us on a riveting ride through the history of financial bubbles, visiting, among other places, Paris and London in 1720, Latin America in the 1820s, Melbourne in the 1880s, New York in the 1920s, Tokyo in the 1980s, Silicon Valley in the 1990s and Shanghai in the 2000s. As they do so, they help us understand why bubbles happen, and why some have catastrophic economic, social and political consequences whilst others have actually benefited society. They reveal that bubbles start when investors and speculators react to new technology or political initiatives, showing that our ability to predict future bubbles will ultimately come down to being able to predict these sparks.
Chapter 4 examines the bubble in railway shares which occurred in the UK in the mid-1840s. Railway share prices more than doubled between 1843 and the autumn of 1845. In addition, there was a promotion boom with hundreds of new railways being authorised by Parliament. By the autumn of 1845, 562 new railway schemes had been submitted to Parliament. Following several major newspaper editorials regarding this folly, the bubble came to an end. The chapter then moves on to discuss the causes of the bubble. The incorporation of hundreds of railway companies by Parliament resulted in an increase in marketability. In terms of money and credit, interest rates were at an historical low and part-paid shares leveraged the buying of shares. The railway bubble witnessed the democratisation of speculation, with many middle-class individuals buying shares for the first time. The spark which set the bubble fire alight was the Railway Act. This Act signalled that railways had the potential to be very remunerative investments. It also created the Railway Board, which was a means of coordinating applications to build railways so that a national rail network was constructed. The chapter concludes by examining the consequences of the bubble, arguing that the bubble was a deeply inefficient way to create a national rail network, and much too wasteful to be considered useful.
Chapter 11 examines the stock market bubbles which occurred in China in 2007 and 2015. Between the end of 2005 and October 2007, the stock market soared by over 400 per cent. One year later, the market had fallen by 70 per cent. Similarly, in the year before June 2015, the stock market had increased by more than 150 per cent. It then collapsed by more than 50 per cent in under three months. The chapter discusses how, in the space of 20 years, China went from having almost no marketability to having heavily controlled marketability, and then near-free marketability. China also went from having virtually no middle class to having the world’s largest middle class, which then became the new speculating class. Thanks to margin lending, they were able to borrow heavily to finance their investments. Both bubbles are very clear examples of how and why governments engineer bubbles in the first instance. In 2007 the Chinese authorities needed to stimulate privatisation and in 2015 they needed to unwind the largest economic stimulus in history.
Chapter 12 is the conclusion of the book. The chapter starts by arguing that the bubble triangle can explain why the cryptocurrency bubble occurred in 2017. It then asks whether the bubble triangle is a good predictive tool. The answer to that question is yes, but bubbles are still difficult to predict because the sparks are difficult to discern. The bubble triangle is also able to predict which bubbles will be destructive (politically sparked bubbles with high bank lending) and which will be useful (technology sparked bubbles with low leverage). The chapter then moves on to look at what governments could do to prevent bubbles. However, since political bubbles are often created because they are in the government’s interest, governments cannot be relied upon to take these measures. The question then arises as to whether the news media can alert investors to the presence of bubbles. The answer to this question very much depends on whether they have the incentive to do so, and this incentive appears to be diminishing over time. The chapter concludes by arguing that investors need to build broad mental models, which include history, if they are to have any chance of predicting bubbles.
Chapter 3 examines the bubble that occurred in the UK in 1824 and 1825. This bubble concerned the promotion of Latin American mining companies and various new companies on the London stock market. The price of mining shares quintupled and those of other new companies more than doubled between August 1824 and February 1825. Over the next year, the prices of these stocks plummeted. This was then followed by one of the most serious banking crises ever to hit the UK. The chapter then moves on to discuss how all three sides of the bubble triangle were in play. Marketability had been revived by the liberalising attitudes of MPs in the UK Parliament. Part-paid shares leveraged the buying of shares and, allied to low denominations and low returns on other assets, stimulated speculation. The spark which set the bubble fire alight was a change in government policy towards Latin America and the corporation. The chapter concludes by examining the consequences of the bubble. The post-bubble banking crisis which started in December 1825 resulted in the collapse of many banks and was followed by a very deep recession.
Chapter 2 examines the first financial bubble, which occurred in 1720. Following the War of the Spanish Succession, the countries of Europe, particularly France and Britain, were heavily indebted. John Law invented the bubble in order to help the French government reduce their debt burden. He did so by creating a scheme whereby the Mississippi Company would refinance the government debt. Following Law’s lead, the directors of the South Sea Company proposed a similar scheme to refinance Britain’s public debt. Subsequently, the shares prices of the both the Mississippi Company and South Sea Company exploded and then dramatically collapsed. In addition, in Britain there were nearly 200 bubble companies floated on the stock market and the shares of existing companies also experienced a bubble. The chapter briefly discusses similar episodes elsewhere, especially in the Netherlands, but none of these were on the same scale as in Britain or France. The chapter then moves on to discuss the causes of the bubble. The debt conversion schemes turned unmarketable government debt into very marketable company shares. Part-paid shares leveraged the buying of shares in both countries and John Law’s bank meant that France’s entire monetary policy was directed towards creating the bubble. The bubble’s creators were also adept at stimulating speculative investment. The chapter concludes by examining the consequences of the bubble, which were severe and long-lasting in the case of France and minor in the case of Britain.
We numerically model the dynamics of the Enceladus plume ice grains and define our nominal plume model as having a particle size distribution n(R) ~ R−q with q = 4 and a total particulate mass rate of 16 kg s−1. This mass rate is based on average plume brightness observed by Cassini across a range of orbital positions. The model predicts sample volumes of ~1600 µg for a 1 m2 collector on a spacecraft making flybys at 20–60 km altitudes above the Enceladus surface. We develop two scenarios to predict the concentration of amino acids in the plume based on these assumed sample volumes. We specifically consider Glycine, Serine, α-Alanine, α-Aminoisobutyric acid and Isovaline. The first ‘abiotic’ model assumes that Enceladus has the composition of a comet and finds abundances between 2 × 10−6 to 0.003 µg for dissolved free amino acids and 2 × 10−5 to 0.3 µg for particulate amino acids. The second ‘biotic’ model assumes that the water of Enceladus's ocean has the same amino acid composition as the deep ocean water on Earth. We compute the expected captured mass of amino acids such as Glycine, Serine, and α-Alanine in the ‘biotic’ model to be between 1 × 10−5 to 2 × 10−5 µg for dissolved free amino acids and dissolved combined amino acids and about 0.0002 µg for particulate amino acids. Both models consider enhancements due to bubble bursting. Expected captured mass of amino acids is calculated for a 1 m2 collector on a spacecraft making flybys with a closest approach of 20 km during mean plume activity for the given nominal particle size distribution.