Relevant bibliographies by topics / Stock bubbles

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Stock bubbles'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Stock bubbles"

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Andrade, Sandro C., Jiangze Bian, and Timothy R. Burch. "Analyst Coverage, Information, and Bubbles." Journal of Financial and Quantitative Analysis 48, no. 5 (October 2013): 1573–605. http://dx.doi.org/10.1017/s0022109013000562.

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AbstractWe examine the 2007 stock market bubble in China. Using multiple measures of bubble intensity for each stock, we find significantly smaller bubbles in stocks for which there is greater analyst coverage. We further show that the abating effect of analyst coverage on bubble intensity is weaker when there is greater disagreement among analysts. This suggests that, in line with resale option theories of bubbles, one channel through which analyst coverage may mitigate bubbles is by coordinating investors’ beliefs and thus reducing its dispersion. Stock turnover provides further evidence consistent with this particular information mechanism.
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Martin, Alberto, and Jaume Ventura. "Economic Growth with Bubbles." American Economic Review 102, no. 6 (October 1, 2012): 3033–58. http://dx.doi.org/10.1257/aer.102.6.3033.

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We develop a stylized model of economic growth with bubbles in which changes in investor sentiment lead to the appearance and collapse of macroeconomic bubbles or pyramid schemes. These bubbles mitigate the effects of financial frictions. During bubbly episodes, unproductive investors demand bubbles while productive investors supply them. These transfers of resources improve economic efficiency thereby expanding consumption, the capital stock and output. When bubbly episodes end, there is a fall in consumption, the capital stock and output. We argue that the stochastic equilibria of the model provide a natural way of introducing bubble shocks into business cycle models. (JEL E22, E23, E32, E44, O41)
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Kho, Bong-Chan, and Jin-Woo Kim. "Who Drive the Rise and Fall of the Bubbles in Korean Stock Market?" Journal of Derivatives and Quantitative Studies 25, no. 4 (November 30, 2017): 591–622. http://dx.doi.org/10.1108/jdqs-04-2017-b0004.

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In this paper, we analyze the trading patterns of investors around the bubble events selected for stocks traded in Korean Stock Market from 1999 to 2013, whose holding period returns exceed 200% for 250 trading days prior to the event and then drop subsequently below -50% thereafter for the next 250 trading days. We examine whether individual investors, commonly known as noise traders, drive the bubbles, and whether institutional investors and foreign investors, known as informed traders, take an arbitrage position to shrink the pricing errors or ride the bubbles to maximize their profits. We also examine whether individual investors suffer losses due to their disposition effect even after the bubble bursts. Major findings of this paper are as follows : First, we find that individual investors are actually shown to drive the bubbles in our full sample, whereas the burst of the bubbles are largely driven by institutional investors and foreign investors. In particular, it is shown for large-cap stocks that foreign investors take the lead in raising the price at an early stage of the bubbles and then institutional investors follow them until the bubble peak point. Second, for mid-cap and large-cap stocks, institutional investors are found to ride the bubbles from about 75 days prior to the bubble peak point, when foreign investors reverse their trades and start selling to realize profits. Such bubble riding behavior of institutional investors is consistent with the synchronization risk model of Abreu and Brunnermeier (2002, 2003), where it is optimal for informed traders to ride the bubbles until all of informed traders start selling at the bubble peak point. Third, individual investors are found to suffer losses as they keep buying the bubble stocks even after the bubble bursts due to their disposition effect.
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Su, Chi-Wei, Lu Liu, and Kai-Hua Wang. "Do Bubble Behaviors Exist in Chinese Film Stocks?" SAGE Open 10, no. 4 (October 2020): 215824402098330. http://dx.doi.org/10.1177/2158244020983300.

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This article investigates bubbles in the Chinese film industry to reveal the industry’s boom and bust process that influences employment, citizen’s livelihoods, and even economic growth. We adopt the film stock index to reflect the industry’s trajectory and employ the generalized and backward sup augmented Dickey–Fuller tests to detect bubble periods. Empirical results indicate that there are three positive bubbles in 2007, 2013, and 2015, indicating that the film market continues to expand after temporary frustrations. Meanwhile, one negative bubble is found in 2019, which demonstrates that the bubble’s negative impacts persist and the film industry is still having problems such as declining industrial output. Economic growth, film quality, and industrial policies are common factors for all bubbles. The global financial crisis, capital in- and outflows, internet giants’ entry and sky-high remuneration are reasons for certain bubble behaviors. Hence, market practitioners should actively recognize bubbles and observe their evolution, which will favor industrial stabilization. A perfect legal system, moderate industrial policies, a competitive market environment, and other measures are needed to confront the opportunities and challenges.
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Li, Ge, Ming Xiao, Xionghui Yang, Ying Guo, and Shengyi Yang. "Research on multiple bubbles in China’s multi-level stock market." PLOS ONE 16, no. 8 (August 2, 2021): e0255476. http://dx.doi.org/10.1371/journal.pone.0255476.

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Financial bubbles have always been a topic of long-term concern for economists. Understanding bubble phenomenon and dating the period of bubbles in real time can provide an early warning diagnosis for financial bubbles and help regulatory authorities to control it and maintain market order. The generalized sup ADF (GSADF) and backward sup ADF (BSADF) tests with flexible window width can effectively detect and date periodically collapsing bubbles in real time. Based on the financial present value model, this paper applies right-tail recursive ADF test to test multiple bubbles in China’s multi-level stock market. Unlike the other researches in China, the ratios of the real stock prices’ natural logarithm to the real dividends’ natural logarithm are used for our testing instead of stock price index. Empirical results show that there are 8 bubbles in the Main-Board Market, 6 bubbles in the Small and Medium Enterprises Board (SMEs), and 4 bubbles in the Growth Enterprise Market (GEM). These bubbles are liquidity-driven and presuppose a loose credit cycle, with the exception of bubbles in 2014–2015. The frequent emergence of bubbles in a short time indicates that China’s stock market is still emerging market. In addition, frequent fluctuations imply there is a serious “herd effect” and a lack of monitoring mechanism for bubble risk. This study not only enrich the real-time dynamic research on periodical bubbles of China’s stock market, but also provide an empirical reference for investors’ investment choices, financial decisions of listed companies and warning mechanism of regulatory authorities.
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Watanapalachaikul, Sethapong, and Sardar M. N. Islam. "Rational Speculative Bubbles in the Thai Stock Market: Econometric Tests and Implications." Review of Pacific Basin Financial Markets and Policies 10, no. 01 (March 2007): 1–13. http://dx.doi.org/10.1142/s0219091507000921.

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Understanding of factors like economic fundamentals or bubbles that normally determine the returns of stock in any emerging market such as the Thai stock market is essential for academic, investment planning and public policy reasons. An empirical study of the existence of rational speculative bubbles in the Thai stock market is undertaken by using the Weibull Hazard model. The conventional Weibull Hazard model is used as a benchmark model for other speculative bubble models. Empirical results suggest the presence of rational speculative bubbles in the Thai stock market, especially during the pre-crisis period. While rational speculative bubbles were not present immediately after the post-crisis period, some were observed a few years after the crisis. A possible explanation for such a result concerning rational speculative behaviour and bubbles in the emerging stock markets could be attributed to the presence of market imperfections in emerging stock markets, requiring institutional and policy developments to ensure efficient operation of the stock market.
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Girdzijauskas, Stasys, and Dalia Štreimikienė. "APPLICATION OF LOGISTIC MODELS FOR STOCK MARKET BUBBLES ANALYSIS." Journal of Business Economics and Management 10, no. 1 (March 31, 2009): 45–51. http://dx.doi.org/10.3846/1611-1699.2009.10.45-51.

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The article deals with economic bubbles and analyses their possible causes and tools for the prediction of such bubbles development. An economic bubble is the commonly used term for an economic cycle that is characterized by a rapid expansion followed by a dramatic crash. While some bubbles happen naturally as a part of the economic cycle, some also occur as a result of investor exuberance and serve as correctives. These typically happen in securities, stock markets, real estate and various other business sectors because of certain changes in the way key players conduct business. The well‐known and widely discussed bubbles in asset markets were analysed and compared trying to define the main features, causes and signals of such bubbles creation: Dotcom, Telecom, Health South Corporation, NASDAQ, etc. These bubbles were analysed in the article by applying the logistic growth model allowing to predict the bubbles creation as a result of growth satiation in the conditions of limited resources.
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Bengtsson, Thomas, and Michael J. Seiler. "Stock Market Bubbles." Journal of Wealth Management 4, no. 3 (October 31, 2001): 50–57. http://dx.doi.org/10.3905/jwm.2001.320420.

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Meng, Sun, Hairui Fang, and Dongping Yu. "Fractal Characteristics, Multiple Bubbles, and Jump Anomalies in the Chinese Stock Market." Complexity 2020 (September 16, 2020): 1–12. http://dx.doi.org/10.1155/2020/7176598.

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To consider the jump problem of the Chinese stock market, this paper takes the CSI 300 Index from April 2005 to November 2015 as the research object, uses the rescaled range analysis (R/S analysis) method to examine the fractal characteristics of the Chinese stock market in the past ten years, and deduces the possibility of multiple bubbles in the Chinese stock market. Based on this, combined with the log-periodic power law (LPPL) model, the stock market bubbles are identified in different periods. The results show that China’s stock market has some anomalies in terms of positive bubbles, negative bubbles, and reverse bubbles, as well as the cross occurrence of reverse-negative bubbles. Besides, through a comparison with the major foreign stock markets, it is found that the fluctuation range of the Chinese stock market is much larger than that of the Dow Jones Industrial Average and the FTSE 100 indices in the same period and there are also more types of multibubbles, which is a connotative anomaly that makes the Chinese stock market different from other major stock markets. Furthermore, the bubble phenomenon in the Chinese stock market during the periods of 2005/4–2007/10 and 2015/6–2015/11 is studied, and it is found that there is a jump anomaly in the Chinese stock market. Finally, based on the above empirical analysis and the current state of the stock market, this paper provides some suggestions for improving the mechanism of the Chinese stock market.
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V. Nartea, Gilbert, and Muhammand A. Cheema. "Bubble footprints in the Malaysian stock market: are they rational?" International Journal of Accounting & Information Management 22, no. 3 (July 29, 2014): 223–36. http://dx.doi.org/10.1108/ijaim-11-2013-0063.

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Purpose – The purpose of this paper is to re-examine the presence of rational speculative bubbles in the Malaysian stock market in light of contradictory results presented in previous studies. Design/methodology/approach – The authors use descriptive statistics, explosiveness tests and the duration dependence test. They use an expanded data set that encompasses at least two alleged bubble episodes addressing a significant limitation of previous studies. The authors use both monthly and weekly returns addressing concerns about the sensitivity of duration dependence test results to the use of monthly versus weekly returns, as well as a battery of alternative measures of returns. Findings – The authors detect bubble footprints but they do not appear to be rational. They found no evidence of rational speculative bubbles over the sample period regardless of whether monthly or weekly returns was used. The authors suggest that if there were bubbles in the Malaysian stock market, they might have been caused by irrational investor behaviour. The authors’ results do not support the suggestion that the duration dependence test is sensitive to the use of monthly versus weekly returns. Practical implications – Despite the absence of rational bubbles in the Malaysian stock market, the faint bubble footprints detected still suggest caution for investors, as the authors cannot categorically rule out the presence of irrational bubbles. Originality/value – This paper clarifies conflicting results of previous studies. It also contributes to the literature on bubble testing by presenting new evidence from an emerging market refuting the claim that duration dependence test results are sensitive to the use of either weekly or monthly returns.
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Dissertations / Theses on the topic "Stock bubbles"

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Yang, Qian. "Stock bubbles : The theory and estimation." Thesis, Brunel University, 2006. http://bura.brunel.ac.uk/handle/2438/3597.

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This work attempts to make a breakthrough in the empirical research of market inefficiency by introducing a new approach, the value frontier method, to estimate the magnitude of stock bubbles, which has been an interesting topic that has attracted a lot of research attention in the past. The theoretical framework stems from the basic argument of Blanchard & Watson’s (1982) rational expectation of asset value that should be equal to the fundamental value of the stock, and the argument of Scheinkman & Xiong (2003) and Hong, Scheinkman & Xiong (2006) that bubbles are formed by heterogeneous beliefs which can be refined as the optimism effect and the resale option effect. The applications of the value frontier methodology are demonstrated in this work at the market level and the firm level respectively. The estimated bubbles at the market level enable us to analyse bubble changes over time among 37 countries across the world, which helps further examine the relationship between economic factors (e.g. inflation) and bubbles. Firm-level bubbles are estimated in two developed markets, the US and the UK, as well as one emerging market, China. We found that the market-average bubble is less volatile than industry-level bubbles. This finding provides a compelling explanation to the failure of many existing studies in testing the existence of bubbles at the whole market level. In addition, the significant decreasing trend of Chinese bubbles and their co-moving tendency with the UK and the US markets offer us evidence in support of our argument that even in an immature market, investors can improve their investment perceptions towards rationality by learning not only from previous experience but also from other opened markets. Furthermore, following the arguments of “sustainable bubbles” from Binswanger (1999) and Scheinkman & Xiong (2003), we reinforce their claims at the end that a market with bubbles can also be labelled efficient; in particular, it has three forms of efficiency. First, a market without bubbles is completely efficient from the perspective of investors’ responsiveness to given information; secondly, a market with “sustainable bubbles” (bubbles that co-move with the economy), which results from rational responses to economic conditions, is in the strong form of information-responsive efficiency; thirdly, a market with “non-sustainable bubbles”, i.e. the bubble changes are not linked closely with economic foundations, is in the weak form of information-responsive efficiency.
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Chen, YenHsiao. "Stock prices : fundamentals, bubbles and investor behaviour." Thesis, University of Aberdeen, 2008. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU500768.

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This thesis investigates ten markets: U.S., U.K., Hong Kong, Japan Singapore, Malaysia, South Korea, Thailand, Taiwan, and Indonesia over a sample period covering roughly from the 1970s to 2006, in order to investigate whether bubble behaviour is a major source of financial instability. Price movements have fundamental components and bubble components. An attempt to explain price behaviour therefore prompts two major questions: What are the fundamental drivers of stocks? What behaviour causes actual prices to deviate from their fundamental values? This thesis constructs fundamental movements in stock prices by utilising the present value model, which, in turn, involves two further issues. First, do investors expect the required rate of return to be time-varying? Second, which fundamental driver, dividends or earnings, is more efficient in tracing investor perceptions of expected cash flows? I address the former issue by building and testing two models which assume constant discount rate and time-varying discount rate respectively. The second issue we address by using dividends and earnings data as the fundamental factor. Revealed deviations from fundamental value are investigated by considering three types of bubble behaviour discussed in the extant literature: rational explosive bubbles; rational intrinsic bubbles; and irrational price dynamics. Such bubble processes are then compared with actual price movements to gauge which type of behaviour is more likely to track actual prices in the sample markets. With respect to whether the required rate of return is time-varying, two variants of the present value model are used to construct the fundamental values of the relevant market indices. Results demonstrate that the dynamic version of the present value model has superiority in tracking actual price movements when compared to a static version of the present value model. With regard to which series is more effective in tracing investor expected cash flows, the more broadly defined expected earnings, rather than cash dividends, drive stock prices in the developed markets of the U.S., U.K. and Japan, as well as the developing markets of Korea and Malaysia. Dividends have relatively more influence on the markets of Thailand, Taiwan and Indonesia, but neither the dividend discount nor earnings discount model can explain the time path of stock prices in Hong Kong and Singapore. In terms of the drivers of bubble phenomena, results suggest no rational explosive bubble exists in any of the markets in the sample.
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Hsieh, Tsung-Han. "Essays on financial bubbles and stock liquidity on the London Stock Exchange." Thesis, Queen's University Belfast, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727402.

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This thesis is a theoretical and empirical analysis of asset price movement including during periods characterised by financial bubbles. It can be argued that financial bubbles occur due to excessive optimism on the part of speculative investors. The positive expectations of investors encourage increases in both price and trading volume. When prices subsequently falter exodus from the market ensues resulting in both a price and trading volume crash. A key question is why do bubbles emerge and grow and subsequently burst? One answer to this question may be found through an analysis of how beliefs are formulated. In the theoretical component of this thesis (Chapter 2) by applying the feedback modelling approach with the coordination game of Ozcenoren and Yuan (2008) we model how investor beliefs are formulated. In Chapter 3 we use transaction-level data to investigate market illiquidity on the London Stock Exchange over the period 1996-2009. The time period under investigation encompasses the Internet (Dot-com) bubble (1997-2000) and house price bubble (2007-2008). Our dataset covers 1,600 stocks and more than 528 million trades. Chapter 4 present the second empirical investigation and considers whether spreads on the London Stock Exchange have become increasingly right skewed.
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Basoglu, Fatma. "Testing For Rational Bubbles In The Turkish Stock Market." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614505/index.pdf.

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In this thesis we empirically examine whether the Turkish stock market is driven by rational bubbles over the period between March 1990 and February 2012. The bubble periods are estimated using a recently developed right-tailed unit root test, the generalized sup augmented Dickey-Fuller test of Phillips, Shi and Yu (2011a). Applying their bubble detection and location strategies to weekly price dividend ratio series, we find strong evidence for the existence of rational bubbles in the Turkish stock market benchmark indices as well as sector indices. Our located bubble periods may give early warning signals of the subsequent Turkish financial crisis.
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Rotermann, Benedikt [Verfasser], and Bernd [Akademischer Betreuer] Wilfling. "Econometric estimation and theoretical modeling of rational stock-market bubbles / Benedikt Rotermann ; Betreuer: Bernd Wilfling." Münster : Universitäts- und Landesbibliothek Münster, 2014. http://d-nb.info/1138280798/34.

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Ricke, Markus. "Margin loans and stock market bubbles : an analytical model and empirical tests of selected results /." Frankfurt am Main : Knapp, 2006. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=014770208&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Ferreira, Marcos Souza. "Bubble detection in Brazil’s stock market: application of the generalized superior augmented Dickey-Fuller test." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/16704.

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Considering the importance of the proper detection of bubbles in financial markets for policymakers and market agents, we used two techniques described in Diba and Grossman (1988b) and in Phillips, Shi, and Yu (2015) to detect periods of exuberance in the recent history of the Brazillian stock market. First, a simple cointegration test is applied. Secondly, we conducted several augmented, right-tailed Dickey-Fuller tests on rolling windows of data to determine the point in which there’s a structural break and the series loses its stationarity.
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Fu, Man. "A Study of Stock Market Fluctuations and their Relations to Business Conditions." FIU Digital Commons, 2009. http://digitalcommons.fiu.edu/etd/89.

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Most research on stock prices is based on the present value model or the more general consumption-based model. When applied to real economic data, both of them are found unable to account for both the stock price level and its volatility. Three essays here attempt to both build a more realistic model, and to check whether there is still room for bubbles in explaining fluctuations in stock prices. In the second chapter, several innovations are simultaneously incorporated into the traditional present value model in order to produce more accurate model-based fundamental prices. These innovations comprise replacing with broad dividends the more narrow traditional dividends that are more commonly used, a nonlinear artificial neural network (ANN) forecasting procedure for these broad dividends instead of the more common linear forecasting models for narrow traditional dividends, and a stochastic discount rate in place of the constant discount rate. Empirical results show that the model described above predicts fundamental prices better, compared with alternative models using linear forecasting process, narrow dividends, or a constant discount factor. Nonetheless, actual prices are still largely detached from fundamental prices. The bubble-like deviations are found to coincide with business cycles. The third chapter examines possible cointegration of stock prices with fundamentals and non-fundamentals. The output gap is introduced to form the non-fundamental part of stock prices. I use a trivariate Vector Autoregression (TVAR) model and a single equation model to run cointegration tests between these three variables. Neither of the cointegration tests shows strong evidence of explosive behavior in the DJIA and S&P 500 data. Then, I applied a sup augmented Dickey-Fuller test to check for the existence of periodically collapsing bubbles in stock prices. Such bubbles are found in S&P data during the late 1990s. Employing econometric tests from the third chapter, I continue in the fourth chapter to examine whether bubbles exist in stock prices of conventional economic sectors on the New York Stock Exchange. The ‘old economy’ as a whole is not found to have bubbles. But, periodically collapsing bubbles are found in Material and Telecommunication Services sectors, and the Real Estate industry group.
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Abou, Wafia Hashem. "The effects of financial contagion, bubbles and monetary policy on the stock markets of the Middle East and North Africa region." Thesis, University of Essex, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.616988.

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This thesis investigates the impact of the US Subprime Crisis on the stock markets of the MENA region to derive the appropriate policy response that can mitigate the adverse effects of such events in the future. The objective of the first chapter is to determine whether the shock transmission occurred due to interdependence, or shift contagion. Two correlation based methods are employed that attempt to control for the heteroskedasticity introduced into the data due to the crisis event. The first method adjusts the correlation measure to directly correct for the heteroskedasticity bias. While the second method uses the Dynamic Conditional Correlation GARCH model which models the heteroskedasticity and traces out the conditional correlation series. The results obtained support the notion of shift contagion which implies that direct intervention in the markets could have lessened the adverse effects of the shock. The second chapter sets out to determine whether or not stock prices in these markets were inflated prior to the crisis. Specifically it tests for the presence of periodically collapsing speculative bubbles using a Markov switching ADF test and the Generalized Sup ADF test. Both methods enable the date stamping of bubble emergence and collapse. The results do not support the presence of a bubble prior to the Subprime crisis and thus confirm the conclusion of the first chapter that the shock was transmitted through shift contagion. Chapter three examines the interdependence between monetary policy, real exchange rates and stock prices to determine if monetary instruments can be used to influence stock prices in these markets. A combination of long and short run restrictions are employed to identify the monetary policy shock within a structural V AR framework. The results are heterogeneous but generally show that markets that pursue a relatively more independent monetary policy have more influence on stock prices.
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Beitl, Marek. "Analýza výkonnosti čínského akciového trhu." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359225.

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The thesis deals with analysis of performance of the Chinese stock market. The first chapter presents basic general characteristics of the stock market and equity investment. The second chapter focuses on the specifics of Chinese stock market. The third, last, chapter analyzes performance of the Chinese stock market.
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Books on the topic "Stock bubbles"

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Karimov, Azar. Identifying Stock Market Bubbles. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65009-8.

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Diba, Behzad T. Rational bubbles in stock prices? [Philadelphia]: Federal Reserve Bank of Philadelphia, 1987.

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Diba, Behzad. Bubbles and stock price volatility. [Philadelphia, Pa.]: Federal Reserve Bank of Philadelphia, 1989.

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Allen, Franklin. Rational finite bubbles. Cambridge, MA: National Bureau of Economic Research, 1991.

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Mirza, Nawazish. Speculative bubbles in Karachi Stock Exchange. Lahore: Centre for Research in Economics & Business, Lahore School of Economics, 2009.

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Gilchrist, Simon. Do stock price bubbles influence corporate investment? Cambridge, MA: National Bureau of Economic Research, 2004.

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Gilchrist, Simon. Do stock price bubbles influence corporate investment? [New York, N.Y.]: Federal Reserve Bank of New York, 2004.

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Dwyer, Gerald P., and R. W. Hafer, eds. The Stock Market: Bubbles, Volatility, and Chaos. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7881-3.

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Froot, Kenneth. Intrinsic bubbles: The case of stock prices. Cambridge, MA: National Bureau of Economic Research, 1989.

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Gurkaynak, Refet S. Econometric tests of asset price bubbles: Taking stock. Washington, D.C: Federal Reserve Board, 2005.

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Book chapters on the topic "Stock bubbles"

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Roehner, Bertrand M. "Stock market bubbles." In Hidden Collective Factors in Speculative Trading, 179–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03048-2_8.

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Roehner, Bertrand M. "Stock market bubbles." In Hidden Collective Factors in Speculative Trading, 179–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04428-5_8.

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Diba, Behzad T. "Bubbles and Stock-Price Volatility." In The Stock Market: Bubbles, Volatility, and Chaos, 9–29. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7881-3_2.

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Camarda, Jeff, Steven James Lee, and Jerusha Lee. "The COVID Stock Bubble: Is a Mother of All Stock Bubbles Brewing?" In The Financial Storm Warning for Investors, 81–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77271-0_9.

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Andraszewicz, Sandra. "Stock Markets, Market Crashes, and Market Bubbles." In Psychological Perspectives on Financial Decision Making, 205–31. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45500-2_10.

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Dwyer, Gerald P., and R. W. Hafer. "Introduction." In The Stock Market: Bubbles, Volatility, and Chaos, 1–7. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7881-3_1.

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Dwyer, Gerald P., and R. W. Hafer. "Do Fundamentals, Bubbles, or Neither Determine Stock Prices? Some International Evidence." In The Stock Market: Bubbles, Volatility, and Chaos, 31–79. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7881-3_3.

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Ramsey, James B. "Economic and Financial Data as Nonlinear Processes." In The Stock Market: Bubbles, Volatility, and Chaos, 81–139. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7881-3_4.

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Moriarty, Eugene, J. Douglas Gordon, Gregory Kuserk, and George Wang. "Statistical Analysis of Price and Basis Behavior: October 12–26, 1987, S&P 500 Futures and Cash." In The Stock Market: Bubbles, Volatility, and Chaos, 141–78. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7881-3_5.

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Haddock, David D. "The Swiftness of Divine Retribution and Its Tendency to Mistake Its Target: An Analysis of the Brady Report." In The Stock Market: Bubbles, Volatility, and Chaos, 179–201. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7881-3_6.

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Conference papers on the topic "Stock bubbles"

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Li, Feng. "Research on Mechanism of Stock Bubbles Based on Bubble Dynamics." In International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/lemcs-14.2014.176.

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Ling, Wang, Liu Bo, and Gao-feng Zou. "Merger & Acquisition and Bubbles on Chinese Stock Market." In 2007 International Conference on Intelligent Pervasive Computing. IEEE, 2007. http://dx.doi.org/10.1109/ipc.2007.24.

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Wang, Mengchen. "Statistical Modeling of Overconfidence and Speculative Bubbles in China's Stock Market." In 2020 9th International Conference on Industrial Technology and Management (ICITM). IEEE, 2020. http://dx.doi.org/10.1109/icitm48982.2020.9080402.

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Ling, Wang, Liu Bo, and Zou Gao-feng. "Test and Analyses for Bubbles on Chinese Stock Marke in Merger & Acquisition." In 2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IEEE, 2007. http://dx.doi.org/10.1109/idaacs.2007.4488475.

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Di Persio, Luca, and Francesco Guida. "A discrete trinomial model for the birth and death of stock financial bubbles." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2017 (ICCMSE-2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5012470.

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Gao, Zhi, and Xuchu Xu. "Stock Bubbles' Nature: A Cluster Analysis of Chinese Shanghai a Share Based on SOM Neural Network." In 2009 International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2009. http://dx.doi.org/10.1109/bife.2009.12.

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Kim, Namwon, Estelle T. Evans, Steven A. Soper, Michael C. Murphy, and Dimitris E. Nikitopoulos. "Investigation of Two-Phase Flow in Rectangular Micro-Channels." In ASME 2008 Fluids Engineering Division Summer Meeting collocated with the Heat Transfer, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/fedsm2008-55037.

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This study addresses air-water, two-phase flows in micro-channels fabricated on poly-methyl-methacrylate (PMMA) with walls that are partially non-wetting (typical static contact angle 65° in stock form) and not molecularly smooth. Two different types of chips were prepared: Micro-milled micro-channels of aspect ratios 1, 2 and 3 with fixed hydraulic diameter on PMMA and micro-channels of unity aspect ratio replicated using hot embossing of PMMA with a micro-milled brass mold insert. Flow-maps obtained using the same gas-liquid injection geometry and method for the three aspect ratio micro-channels are presented, and regime boundaries are compared with those found by other investigations. The results indicate that the bubbly flow regime boundary is shifted to higher liquid and/or lower gas superficial velocities for the higher aspect ratio channels, while transition to the Annular and Annular-Dry regimes remains the same to within experimental uncertainty. The emphasis of what is presented is on the Segmented flow regime. Regular and irregular Segmented flow regimes of three types are assessed on the basis of the statistical variation in the associated phase length scales from flow observations over a substantial channel length. Comparison between results of the two different injection geometries and micro-channel manufacturing techniques indicate that feedback effects are a significant but not the only cause of segmented flow irregularity. The variability in the size of the liquid plug separating gas bubbles in Segmented flow is found to be substantially higher than that of the bubbles even when the flow is regular (low variability of bubble size). The average bubble length associated with a part of Segmented flows, regular and irregular alike is shown to scale approximately with the capillary number to the 2/3 power (liquid volumetric flow ratio to the −2/3). Irregular Segmented flow is favored by higher liquid superficial velocities, lower liquid volumetric flow ratios and lower channel aspect ratios. Of the three aspect ratios examined, the microchannel with aspect-ratio 3 displayed the broadest window of regular Segmented flow. Two-phase flow pressure drop was measured for test channels of unity aspect ratio. Each flow regime identified on the basis of topological observations is associated with different trends of the pressure drop variation with respect to volumetric flow ratio.
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Mukherjee, Abhijit, and Satish G. Kandlikar. "Effect of Dynamic Contact Angle on Single Bubbles During Nucleate Pool Boiling." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59976.

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Nucleate pool boiling at low heat flux is typically characterized by cyclic growth and departure of single vapor bubbles from the heated wall. It has been experimentally observed that the contact angle at the bubble base varies during the ebullition cycle. In the present numerical study, dynamic advancing and receding contact angles obtained from experimental observations are specified at the base of a vapor bubble growing on a wall. The complete Navier-Stokes equations are solved and the liquid-vapor interface is captured using the level-set technique. The effect of dynamic contact angle on the bubble dynamics and vapor removal rate are compared to results obtained with static contact angle. The results show that bubble base exhibits a slip/stick behavior with dynamic contact angle though the overall effect on the vapor removal rate is small. Higher advancing contact angle is found to increase the vapor removal rate.
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Fujiwara, A., K. Okamoto, K. Hashiguchi, J. Peixinho, S. Takagi, and Y. Matsumoto. "Bubble Breakup Phenomena in a Venturi Tube." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37243.

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Microbubble generation techniques have been proposed in former investigations. Here, we study an effective technique using air bubbly flow into a convergent-divergent nozzle (venturi tube). Pressure change in the diverging section induces bubble breakup. The purpose of this study is to clarify the effect of flow velocity at the throat with respect to the bubble breakup process and the bubble behavior in a venturi tube. Relations between generated bubble diameter and bubble breakup process are also described. Using high speed camera for detailed observation of bubble behavior, the following features were obtained. The velocity at the throat is expected to be of the order of the magnitude of the speed of sound of bubbly flow and a drastic bubble expansion and a shrink is induced. Besides, a liquid column appeared after the bubble flowing into the throat, and it grew up to stick to the bubble like in the form of a jet. This jet induced both unstable surface waves and the breakup of a single large bubble into several pieces.
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Yao, Weidong, and Gang Liu. "Study on the relationship between investor sentiment and stock bubble." In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407304.

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Reports on the topic "Stock bubbles"

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Diba, Behzad, and Herschel Grossman. Rational Bubbles in Stock Prices? Cambridge, MA: National Bureau of Economic Research, October 1985. http://dx.doi.org/10.3386/w1779.

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Gilchrist, Simon, Charles Himmelberg, and Gur Huberman. Do Stock Price Bubbles Influence Corporate Investment? Cambridge, MA: National Bureau of Economic Research, June 2004. http://dx.doi.org/10.3386/w10537.

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Froot, Kenneth, and Maurice Obstfeld. Intrinsic Bubbles: The Case of Stock Prices. Cambridge, MA: National Bureau of Economic Research, September 1989. http://dx.doi.org/10.3386/w3091.

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Flood, Robert, Robert Hodrick, and Paul Kaplan. An Evaluation of Recent Evidence on Stock Market Bubbles. Cambridge, MA: National Bureau of Economic Research, July 1986. http://dx.doi.org/10.3386/w1971.

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Diba, Behzad, and Herschel Grossman. On the Inception of Rational Bubbles in Stock Prices. Cambridge, MA: National Bureau of Economic Research, July 1986. http://dx.doi.org/10.3386/w1990.

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West, Kenneth. Bubbles, Fads, and Stock Price Volatility Tests: A Partial Evaluation. Cambridge, MA: National Bureau of Economic Research, May 1988. http://dx.doi.org/10.3386/w2574.

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Dwyer, Jr., Gerald P., and R. W. Hafer. Do Fundamentals, Bubbles or Neither Determine Stock Prices? Some International Evidence. Federal Reserve Bank of St. Louis, 1989. http://dx.doi.org/10.20955/wp.1989.003.

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Gali, Jordi, and Luca Gambetti. The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence. Cambridge, MA: National Bureau of Economic Research, March 2014. http://dx.doi.org/10.3386/w19981.

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Cochrane, John. Stocks as Money: Convenience Yield and the Tech-Stock Bubble. Cambridge, MA: National Bureau of Economic Research, June 2002. http://dx.doi.org/10.3386/w8987.

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Gustman, Alan, and Thomas Steinmeier. Retirement and the Stock Market Bubble. Cambridge, MA: National Bureau of Economic Research, December 2002. http://dx.doi.org/10.3386/w9404.

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