{"id":138,"date":"2024-05-04T00:29:28","date_gmt":"2024-05-04T00:29:28","guid":{"rendered":"https:\/\/wrinkledworld.com\/?p=138"},"modified":"2024-09-15T20:47:15","modified_gmt":"2024-09-15T20:47:15","slug":"efficient-capital-markets","status":"publish","type":"post","link":"https:\/\/wrinkledworld.com\/fr\/efficient-capital-markets\/","title":{"rendered":"Efficient Capital Markets?"},"content":{"rendered":"<div class=\"brz-root__container brz-reset-all\">\n<h1>Efficient Capital Markets?<\/h1>\n<h1>Research, history, and applications<\/h1>\n<p><strong>Dr. Jonathan Cooley <\/strong><strong>\u848b\u80fd\u80dc<\/strong><strong>\u00a0<\/strong><strong><em>DBA, MBA, BS<\/em><\/strong><\/p>\n<p><strong>Abstract<\/strong><\/p>\n<p>This article explores the concept model of efficient markets made popular by Fama, the 2013 Nobel Prize winner in economics, and his co-winner, economist Robert Shiller.\u00a0Shiller has challenged the efficient market hypothesis as a \u201chalf-truth\u201d since the late 1990s\u00a0through today\u00a0concluding\u00a0that although capital markets can be efficient, they can also be irrational and not properly reflect asset values.\u00a0The article further explores the literature and current articles regarding those key factors that can \u2013 and do \u2013 make domestic and international public capital markets inefficient.\u00a0The article concludes\u00a0there\u00a0are four key elements acting\u00a0on efficient markets\u00a0and these\u00a0forces will not necessarily\u00a0be mitigated\u00a0through regulation,\u00a0and\u00a0the\u00a0effect of these four forces can be extended\u00a0into other capital asset markets.<\/p>\n<p>Keywords: Stock Crash, Efficient Markets, Stock, Random Walk, Insider Trading, Irrational Markets, Information Velocity, Equity Markets, Arbitrage, Shanghai Exchange, Shenzen China exchange, International Accounting Standards IAS, Artificial Intelligence AI<\/p>\n<p><strong>Historical Overview<\/strong><\/p>\n<p>Market efficiency assumes that asset prices will adjust up or down and immediately reflect all information available to investors; therefore, investors cannot outperform the markets or other investors in a consistent manner through abnormal risk-adjusted returns. The concept was first discussed regarding the public financial markets by Charles Conant in 1904 (Conant, 1904). The term was coined by Harry Roberts of the University of Chicago, and made further famous by Eugene Fama in 1969 (Fama, Fisher, Jensen, &amp; Roll, 1969). In 1960, the Ford Foundation funded CRSP (Center for Research in Security Prices). The resulting database allowed scholars to empirically study the actual price history of public stocks all the way back to 1926 for the first time, adjusted for splits, dividends, and the like (Shiller, 2012). This allowed a revolution in finance and first demonstrated that actual results were consistent with the efficient market hypothesis (Boettke, 2008; Lehrer, 2010).<\/p>\n<p>The concept of the random walk (Malkiel, 1999;\u00a0 Shlller, 2012) is also central to the efficient market hypothesis; essentially, the historical price trend of a stock or stock market does not influence the next price point and prices adjust to fully reflect all publicly available information.<\/p>\n<p>On the other hand, technical analysis looks to stock performance charts to predict buy and sell points based on investor performance without regard to public information. An example is the \u201chead-and-shoulders\u201d pattern of price changes that key buy\/sell orders (Hodnett &amp; Heng-Hsing, 2012; Shiller, 2012). This approach falls into the behavioral finance pricing hypothesis that markets reflect investors\u2019 moods, fears, expectations, and prejudice. Shiller suggests that the markets reflect both efficiency and behavioral components.<\/p>\n<p>Based on original research and following studies by Fama (1969, 1970, 1998),\u00a0 Higgins (2012) summarizes there are three forms of efficient markets: i) the weak-form, ii) the semi strong-form, and iii) the strong-form. Fama concluded that extensive market pricing tests indicate that most financial markets are semistrong \u2013 current prices fully reflect all publicly available information. Therefore, the markets may be efficient on the whole; however, other studies indicate they can and do become inefficient. Key underlying support for the efficient market then becomes \u201cwhat information is available, to whom, and when.\u201d<\/p>\n<p>This article limits the discussion to public stock markets and explores a few key issues that may cause these markets to be inefficient. Similar arguments can, however, also be made with the pricing of other assets such as debt instruments (e.g., bonds, subordinated debt, mortgages) and commodities.<\/p>\n<p><strong>Efficient Capital Markets<\/strong><\/p>\n<p>Let us consider the argument that not all markets are efficient and the efficient public market hypothesis is a \u201chalf\u2013truth\u201d (Boettke, 2010; Shiller, 2012). Nagaswaren (2013) argues that markets are inherently inefficient in concert with the conclusions of other studies (Hodnett&amp;Heng-Hsing, 2012; Kitson,2012; Leroy,1976).\u00a0 For example, to allow markets to adjust both up and down, there should be no restrictions on shorts, puts or futures. Market regulators worldwide, however, have placed certain restrictions on all these instruments, and shorts do not even exist for some markets such as the China exchanges. Bull (optimistic) and bear (pessimistic) market cycles also suggest there is a strong public clustering sentiment (even a \u201cherd mentality) involved in asset pricing.<\/p>\n<p>Current articles and the literature suggest\u00a0there are\u00a0primary causes for inefficient markets\u00a0and these\u00a0can\u00a0be categorized\u00a0into four areas.\u00a0These are:<\/p>\n<ul>\n<li>Transparency: a general lack of transparency in financial reporting<\/li>\n<li>Insider Trading: information generally unavailable to public investors<\/li>\n<li>Irrational Markets: differences in asset pricing models and assumptions<\/li>\n<li>Information Velocity: the advantage\/disadvantage of the speed with which some investors receive publicly available information<\/li>\n<\/ul>\n<p><strong>Transparency<\/strong><\/p>\n<p>When investigating the efficiencies of international capital markets, one must recognize that each country\u2019s public market laws and policies, as well as\u00a0the inclination for public information transparency and efficient distribution of such\u00a0information\u00a0can\u00a0greatly\u00a0alter market behavior (ACCA, 2013).\u00a0The ACCA studied stock prices between 2003 and 2009 on\u00a0both\u00a0the Shanghai and Shenzen China exchanges. The study concluded that there was a direct, positive effect of improved earnings disclosures on stock prices for Chinese companies who have begun to use International Accounting Standards (IAS). The research also indicated\u00a0there were\u00a0five prime motivations for these companies\u2019 adoption of IAS. These were:<\/p>\n<ul>\n<li>\u201cA high level of dependence on the equity markets for funding<\/li>\n<li>Being outside of direct Government control and lacking access to Government subsidies<\/li>\n<li>Being based in a less-developed region<\/li>\n<li>Having significant foreign ownership<\/li>\n<\/ul>\n<ul>\n<li>Being a [exporting or global] manufacturer.\u201d(ACCA, 2013, Abstract, p 3)<\/li>\n<\/ul>\n<p>Several countries have proposed and accepted the IAS. However, America has not yet adopted these standards. American companies must comply with U.S. regulations as set by the Financial Accounting Standards Board (FASB). Companies whose stock trades in American exchanges must, therefore, reconcile their financial statements to FASB rules. As Higgins (2012) notes, accounting and financial reporting are as much an art as a science.<\/p>\n<p>Although there appears to be a convergence of accounting and reporting standards within the markets, with differing rules and regulation enforcement, an investor may be pricing apples and oranges between international companies or on separate exchanges even in the same industry and customer markets. This speaks to the question of what information and of what quality information is generally available for efficient markets. It also opens the door for certain arbitrage opportunities.<\/p>\n<p><strong>Insider Trading<\/strong><\/p>\n<p>Efficient markets assume that all information is equally available to all investors.\u00a0As we have seen throughout the past thirty years, market inefficiencies have\u00a0been created\u00a0through insider trading\u00a0\u00a0&#8211; trading based\u00a0in\u00a0information not generally available to the public (Plott,\u00a0&amp; Sunder, 1982).\u00a0To name a few of the more recent examples (Wachtel, 2010):<\/p>\n<ul>\n<li>1986 Ivan Boesky, Drexel, Burnham, Lambert;<\/li>\n<li>2001 Martha Stewart, ImClone;<\/li>\n<li>2005 Joseph Nacchio, Qwest Communications; and<\/li>\n<li>2009, Raj Rajaratnam, Galleon Group are only a few.<\/li>\n<\/ul>\n<p>According to industry professionals, such insider trading is not going away(Schaefer, 2012). History and current news attest to this fact, although continuing regulation attempts to control it and mitigate its market effects.<\/p>\n<p><strong>Irrational Markets<\/strong><\/p>\n<p>Research by Einhorn and Hogarth (1978), supported by other research (Goldratt, 1990), has shown that people are poor at determining correlations subjectively. Additionally, research has documented a substantial lack of ability of both experts and non-experts to draw conclusions accurately and subjectively. These studies also show that the same people have great confidence in their decisions and may not recognize their fallible judgment (Einhorn&amp; Hogarth).<\/p>\n<p>Keynes believed that markets can become irrational. This was later argued by both Federal Reserve Chairman, Alan Greenspan (Harford &amp; Alexander, 2013) and economist Robert Shiller (2000). Greenspan said,\u00a0\u201c&#8221;How do we know when irrational exuberance has unduly escalated asset values which then become subject to unexpected and prolonged contractions as they have in Japan over the past decade?&#8221; (Harford &amp; Alexander, 2013, p.1).Shiller (2000) argued that the long stock price boom from 1982 to 1995 created an over-heated, over-priced market of irrational exuberance, foreshadowing the later\u00a0world-wide\u00a0financial crises.\u00a0This\u00a0speaks more to\u00a0the concepts of behavioral finance than those who hold strictly\u00a0to the efficient market theory.<\/p>\n<p>Arbitrage Pricing Theory (APT) effectively attempts to model market inefficiencies.\u00a0The concept was developed\u00a0in 1976 and\u00a0attempted\u00a0to incorporate\u00a0macro-economic\u00a0risk factors into asset pricing. Early empirical studies\u00a0 (Reinganum,1981) suggest that linear APT models do not\u00a0properly\u00a0account for asset pricing differences. Many studies since then have attempted to improve on these models (e.g., Bansal&amp;Viswanathan, 1993). Therefore, although Higgins (2012) suggests that markets are semistrong,\u00a0it can be argued\u00a0that irrational markets may be efficient: The market continues to respond to available information, but these markets do not necessarily reflect accurate asset values.<\/p>\n<p><strong>Information Velocity<\/strong><\/p>\n<p><strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/strong>Finally, this leads us to the question, \u201cAssuming all public information is available to all people, does it matter\u00a0<u>when<\/u>\u00a0the information is received?\u201d\u00a0\u00a0Given\u00a0two investors\u00a0in a\u00a0perfectly efficient market, if Investor A receives information on January 1 and Investor B receives it on January 5, Investor A has the investment advantage.\u00a0The obvious answer to the question then\u00a0is,\u00a0yes;\u00a0but the\u00a0ability to receive, process, and act on information can now exceed the ability of humans to receive and process information beyond the human limitation of 650 nanoseconds (Invest, 2012).\u00a0This\u00a0becomes the realm of computer algorithms.<\/p>\n<p>The concept of arbitrage operates based on\u00a0inefficiencies in markets, price differences in remote markets, and investors\u2019 access to publicly available information (Bell, 2012). The speed of this access can create an opportunity for capitalizing on new information.<\/p>\n<p>Automated computer data collection and algorithms have\u00a0been built\u00a0to i) access and digest news and information more rapidly than humanly possible, ii) make correlations across multiple markets, industries, and data, and iii) execute fast buy\/sell trades. These are called \u201chigh-frequency trading\u201d or high-speed trading (Foxman, 2013; Koba, 2013; Shecter, 2013). Apple stock, for example, trades approximately 29,000 times per second. By 2013, computer-based trading accounted for 75% of all market trades (Farrell, 2013).<\/p>\n<p>Funds and traders can take advantage of the concept of price convergence or divergence to make money. For example, a fund buys a Treasury bill (T-bill) future, trading at a slight discount to the face value of the bill itself. The fund then simultaneously sells a corresponding Treasury bill. When the difference between the original T-bill\u2019s discounted value and the future value narrows (i.e., converges) or expands (i.e., diverges), the trade creates an arbitrage profit opportunity.\u00a0Using debt leverage combined with the fund\u2019s equity, the leveraged equity converts a small stock profit into a significant profit to equity by trading thousands of shares at a time. \u00a0es 1 and 2 illustrate how the market can be affected when hundreds of these programs are running in the market.<\/p>\n<p>In Figure 1, notice the rapid frequency shifting of the price of a commodity, natural gas. With a consistent supply of natural gas and a world market, this commodity market should be highly efficient; however,\u00a0HFT\u00a0(High-Frequency Trading) can cause increased volatility in a stock price, as noted. Of importance is to note the rapid\u00a0 time frame for this price oscillation&#8230;hundreds of trades in milliseconds.<\/p>\n<p><em>Figure 1<\/em><strong>. <\/strong>Price\u00a0Fluctuation of Natural Gas Futures due to High Frequency Trading<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-144 aligncenter\" src=\"https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Flash-Crassh-300x159.png\" alt=\"\" width=\"615\" height=\"326\" srcset=\"https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Flash-Crassh-300x159.png 300w, https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Flash-Crassh-18x10.png 18w, https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Flash-Crassh-600x318.png 600w, https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Flash-Crassh.png 640w\" sizes=\"auto, (max-width: 615px) 100vw, 615px\" \/><\/p>\n<p>Invest (2012).\u00a0High Frequency\u00a0Trading Explained.\u00a0Conference proceedings.Retrieved from\u00a0<a href=\"http:\/\/www.youtube.com\/watch?v=GAGaReF9LaI\">http:\/\/www.youtube.com\/watch?v=GAGaReF9LaI<\/a>. Copy for educational purposes only.<\/p>\n<p>Figure 2 indicates what happens when multiple algorithms collide. In this example, Apple stock fell rapidly for a short period. These &#8220;flash crashes&#8221; apparently occur many times a day with many stocks<\/p>\n<p>due to HFT and is no longer unusual in the market, happening dozens of times a day and argued that given perfect information, price differentials should cancel out such disparate market advantages.\u00a0This\u00a0addresses the issue of access to information and the ability to act on that information before the rest of the market. I propose that information and trading velocity then create an unfair advantage, but no more than enjoyed by John Maynard Keynes when he built his arbitrage fortune via access to faster newsprint information on the London and Paris\u00a0exchanges<\/p>\n<p><em>Figure 2<\/em>: Apple Stock\u2019s Flash Crash, January 25, 2013.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-143 aligncenter\" src=\"https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Apple-flash-crash-300x165.png\" alt=\"\" width=\"693\" height=\"381\" srcset=\"https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Apple-flash-crash-300x165.png 300w, https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Apple-flash-crash-18x10.png 18w, https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Apple-flash-crash-600x330.png 600w, https:\/\/wrinkledworld.com\/wp-content\/uploads\/2024\/05\/Apple-flash-crash.png 741w\" sizes=\"auto, (max-width: 693px) 100vw, 693px\" \/><\/p>\n<p>Farrell, M. (2013). Mini flash crashes: A dozen a day. CNN Money.Retrieved from\u00a0\u00a0\u00a0<a href=\"http:\/\/money.cnn.com\/2013\/03\/20\/investing\/mini-flash-crash\/\">http:\/\/money.cnn.com\/2013\/03\/20\/investing\/mini-flash-crash\/<\/a>.Copy for educational purposes only.<\/p>\n<p><strong>Summary Conclusion<\/strong><\/p>\n<p>Both the literature and the continuing discourse among economists and market watchers agree that markets can become or are inefficient for several reasons. We have explored a few key reasons.\u00a0The efficient market hypothesis assumes a somewhat Utopian perfection\u00a0which\u00a0<strong>cannot<\/strong>\u00a0and\u00a0<strong>does not<\/strong> exist in today\u2019s public market \u2013 and there doesn\u2019t seem to be a leveling change in the future. The introduction of Artificial Intelligence (AI) in computerized trading will further exacerbate these issues.<\/p>\n<p>Much of the market dynamics in the past few years have not been reported yet in scholarly journals. As a result, current public articles have been used in this discussion to supplement the literature and investigate market trends.\u00a0Time will allow\u00a0a\u00a0sufficient\u00a0collection of\u00a0data\u00a0and research to address these in the future.\u00a0It is an area ripe for additional research; however, the sheer velocity of technology may make it difficult\u00a0to substantively research the\u00a0cutting edge\u00a0of\u00a0public asset market changes.<\/p>\n<p><strong>\u00a0References<\/strong><\/p>\n<p>AACA (2013).IFRS in China.<em>The Global Body\u00a0foyou\u00a0Professional Accountants<\/em>. Retrieved from http:\/\/www.accaglobal.com\/en\/research-insights\/corporate-reporting\/ifrs-china.html<\/p>\n<p>Bansal, R., &amp;Viswanathan, S. S. (1993). No Arbitrage and Arbitrage Pricing: A New Approach.\u00a0<em>Journal of Finance<\/em>,\u00a0<em>48<\/em>(4), 1231-1262.<\/p>\n<p>Bell, H. (2012). Velocity of Information in Efficient Markets: A Theory of Market Value Change.\u00a0<em>Journal of Investing<\/em>,<em>21<\/em>(3), 55-59.<\/p>\n<p>Boettke, P.\u00a0 (2010). What Happened to &#8220;Efficient Markets&#8221;?.\u00a0<em>Independent Review<\/em>,\u00a0<em>14<\/em>(3), 363-375.<\/p>\n<p>Commercial Finance Group (n.d.), Arbitrage. Retrieved from http:\/\/www.fcscfg.com\/terminology\/A-terms\/arbitrage.htm.<\/p>\n<p>Conant, C. A. (1904).\u00a0<em>Wall Street and the Country<\/em>. Houghton, Mifflin &amp; Company.<\/p>\n<p>Einhorn, H. &amp; Hogarth, R. (1978).Confidence in judgment: Persistence of the illusion of validity.<em>Psychological Review<\/em>, Vol 85(5), Sep 1978, 395-416. doi:\u00a0<a href=\"http:\/\/psycnet.apa.org\/doi\/10.1037\/0033-295X.85.5.395\">10.1037\/0033-295X.85.5.395<\/a>. Retrieved from http:\/\/psycnet.apa.org\/journals\/rev\/85\/5\/395\/<\/p>\n<p>Fama, E., Fisher, L., Jensen, M., &amp; Roll, R. (1969).The adjustment of stock prices to new information.\u00a0<em>International economic review<\/em>,\u00a0<em>10<\/em>.<\/p>\n<p>Fama, E.F. (1970). Efficient capital markets: A review of theory and empirical work.<em>\u00a0Journal of Finance 25<\/em>(2), 383-417.<\/p>\n<p>Fama, E. (1991). Efficient capital markets II.\u00a0<em>Journal of Finance, 46<\/em>(5), 1575\u20131617.<\/p>\n<p>Fama, E. F. (1998). Market efficiency, long-term returns, and behavioral finance.<em>Journal of Financial Economics<\/em>,\u00a0<em>49<\/em>(3), 283\u2013306.<\/p>\n<p>Farrell, M. (2013). Mini flash crashes: A dozen a day. CNN Money. Retrieved from\u00a0<a href=\"http:\/\/money.cnn.com\/2013\/03\/20\/investing\/mini-flash-crash\/\">http:\/\/money.cnn.com\/2013\/03\/20\/investing\/mini-flash-crash\/<\/a><\/p>\n<p>Foxman, S. (2013).High-frequency\u00a0trading is\u00a0bad\u00a0for\u00a0normal\u00a0investors, researchers say.\u00a0<em>Quartz.<\/em>June 18. Retrieved from http:\/\/qz.com\/95088\/high-frequency-trading-is-bad-for-normal-investors-researchers-say\/<\/p>\n<p>Goldratt, E. (1990)TheHaystack Syndrome: Sifting Information Out of the Data Ocean<em>.\u00a0<\/em>North River Press Publishing, Great Barrington, MA, 1990.<em>\u00a0<\/em><a href=\"http:\/\/en.wikipedia.org\/wiki\/Special:BookSources\/0884271846\">ISBN 0-88427-184-6<\/a><\/p>\n<p>Harford, T. &amp; Alexander, R. (2013). Are markets &#8216;efficient&#8217; or irrational?\u00a0<em>BBC News Magazine<\/em>. October 2013. Retrieved from\u00a0<a href=\"http:\/\/www.bbc.co.uk\/news\/magazine-24579616\">http:\/\/www.bbc.co.uk\/news\/magazine-24579616<\/a>.<\/p>\n<p>Hodnett, K., &amp;Heng-Hsing, H. (2012). Capital Market Theories: Market efficiency versus investor prospects.\u00a0<em>International Business &amp; Economics Research Journal<\/em>,\u00a0<em>11<\/em>(8), 849-862.<\/p>\n<p>Invest, n.a. (2012).\u00a0High Frequency\u00a0Trading Explained.\u00a0Conference proceedings.Retrieved from http:\/\/www.youtube.com\/watch?v=GAGaReF9LaI.<\/p>\n<p>Kitson, M. A. (2012). Controversial orthodoxy: The efficient capital markets hypothesis and loss causation.\u00a0<em>Fordham Journal Of Corporate &amp; Financial Law<\/em>,\u00a0<em>18<\/em>(1), 191-231.<\/p>\n<p>Koba, M. (2013).\u00a0High Frequency\u00a0Trading: CNBC\u00a0explains<em>CNBC.<\/em>\u00a024 Jan. Retrieved from\u00a0<a href=\"http:\/\/www.cnbc.com\/id\/100405633\">http:\/\/www.cnbc.com\/id\/100405633<\/a><\/p>\n<p>Lehrer, J. (2010). The Truth Wears Off: Is there something wrong with the scientific method?<em>New\u00a0Yorker,\u00a0<\/em>Dec. 13. Retrieved from http:\/\/www.newyorker.com\/reporting\/2010\/12\/13\/101213fa_fact_lehrer<\/p>\n<p>Leroy, S. (1976). Efficient Capital Markets: Comment.\u00a0<em>Journal Of Finance<\/em>,\u00a0<em>31<\/em>(1), 139-141.<\/p>\n<p>Malkiel, B. G. (2003). The Efficient Market Hypothesis and Its Critics.\u00a0<em>Journal of Economic Perspectives<\/em>,\u00a0<em>17<\/em>(1), 59-82.<\/p>\n<p>Malkiel, B. G. (1999).\u00a0<em>A random walk down Wall Street: including a life-cycle guide to personal investing<\/em>. WW Norton &amp; Company.<\/p>\n<p>Mattoli, C. (2008). What is Arbitrage? White Paper: Red Hill Capital Corp.<\/p>\n<p>Nageswaran, V.A. (2013). The efficient markets fad.<em>Wall Street Journal,\u00a0<\/em>Mon., Oct 21, 2013. Retrieved from\u00a0<a href=\"http:\/\/www.livemint.com\/Opinion\/p38RxhhmtARQ95mHrqdmlL\/The-efficient-markets-fad.html\">http:\/\/www.livemint.com\/Opinion\/p38RxhhmtARQ95mHrqdmlL\/The-efficient-markets-fad.html<\/a><\/p>\n<p>Plott, C. R., &amp; Sunder, S. (1982). Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models.\u00a0<em>Journal Of Political Economy<\/em>,\u00a0<em>90<\/em>(4), 663-698.<\/p>\n<p>Reinganum, M. (1981). The Arbitrage Pricing Theory: Some Empirical Results.\u00a0<em>Journal Of Finance<\/em>,\u00a0<em>36<\/em>(2), 313-321.<\/p>\n<p>Schaefer, S. (2012).Insider\u00a0Trading Scandals Aren&#8217;t Going Away, Lawyers Say. Forbes Online.Retrieved from\u00a0<a href=\"http:\/\/www.forbes.com\/sites\/steveschaefer\/2012\/12\/06\/insider-trading-scandals-arent-going-away-lawyers-say\/\">http:\/\/www.forbes.com\/sites\/steveschaefer\/2012\/12\/06\/insider-trading-scandals-arent-going-away-lawyers-say\/<\/a><\/p>\n<p>Shecter, B. (2013) High-frequency traders: Market friend or\u00a0foe?<em>Financial Post.<\/em>Retrieved from\u00a0<em>\u00a0http:\/\/business.financialpost.com\/2013\/10\/11\/high-frequency-traders-market-friend-or-foe\/<\/em><\/p>\n<p>Shiller, R. (2012).Efficient Markets. Retrieved from\u00a0<a href=\"http:\/\/oyc.yale.edu\/economics\/econ-252-11\/lecture-7\">http:\/\/oyc.yale.edu\/economics\/econ-252-11\/lecture-7<\/a><\/p>\n<p>Shiller, R. (2003).From Efficient Markets Theory to Behavioral Finance.\u00a0<em>Journal of Economics Perspectives<\/em>, 17, 83-104<\/p>\n<p>Wachtel, K. (2010). The 11 Most Shocking Insider Trading Scandals Of The Past 25 Years. Business Insider.Retrieved from http:\/\/www.businessinsider.com\/worst-insider-trading-scandals-2011-11?op=1<\/p>\n<\/div>\n<p><!--more--><\/p>\n<p><!--more--><\/p>\n<p><!-- version:1714781144 --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Efficient Capital Markets? Research, history, and applications Dr. Jonathan Cooley \u848b\u80fd\u80dc\u00a0DBA, MBA, BS Abstract This article explores the concept model of efficient markets made popular by Fama, the 2013 Nobel Prize winner in economics, and his co-winner, economist Robert Shiller.\u00a0Shiller has challenged the efficient market hypothesis as a \u201chalf-truth\u201d since the late 1990s\u00a0through today\u00a0concluding\u00a0that although [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":50,"comment_status":"open","ping_status":"open","sticky":false,"template":"brizy-blank-template.php","format":"standard","meta":{"content-type":"","iawp_total_views":9,"footnotes":""},"categories":[30,18],"tags":[],"class_list":["post-138","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-critical-thinking","category-finance"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Efficient Capital Markets? - Dr Jon&#039;s Wrinkled World<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wrinkledworld.com\/fr\/efficient-capital-markets\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Efficient Capital Markets? - Dr Jon&#039;s Wrinkled World\" \/>\n<meta property=\"og:description\" content=\"Efficient Capital Markets? 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