efficiency Tests of market efficiency look at the whether specific investment strategies earn excess returns. Some tests also account for transactions costs and execution feasibility. Since an excess return on an investment is the difference between the actual and expected return on that investment, there is implicit in every test of market efficiency a model for this expected return. In some cases, this expected return adjusts for risk using the capital asset pricing model or the arbitrage pricing model, and in others the expected return is based upon returns on similar or equivalent investments. In every case, a test of market efficiency is a joint test of market efficiency and the efficacy of the model used for expected returns. When there is evidence of excess returns in a test of market efficiency, it can indicate that markets are inefficient or that the model used to compute expected returns is wrong or both. While this may seem to present an insoluble dilemma, if the conclusions of the study are insensitive to different model specifications, it is much more likely that the results are being driven by true market inefficiencies and not just by model misspecificatio
2 more likely to have under valued stocks. Given the size of the universe of stocks, this not only saves time for the analyst, but increases the odds significantly of finding under and over valued stocks. For instance, some efficiency studies suggest that stocks that are 'neglected' be institutional investors are more likely to be undervalued and earn excess returns. A strategy that screens firms for low institutional investment (as a percentage of the outstanding stock) may yield a sub-sample of neglected firms, which can then be valued using valuation models, to arrive at a portfolio of undervalued firms. If the research is correct the odds of finding undervalued firms should increase in this sub-sample. What is an efficient market? An efficient market is one where the market price is an unbiased estimate of the true value of the investment. Implicit in this derivation are several key concepts - (a) Contrary to popular view, market efficiency does not require that the market price be equal to true value at every point in time. All it requires is that errors in the market price be unbiased, i.e., that prices can be greater than or less than true value, as long as these deviations are random1. (b) The fact that the deviations from true value are random implies, in a rough sense, that there is an equal chance that stocks are under or over valued at any point in time, and that these deviations are uncorrelated with any observable variable. For instance, in an efficient market, stocks with lower PE ratios should be no more or less likely to under valued than stocks with high PE ratios. (c) If the deviations of market price from true value are random, it follows that no group of investors should be able to consistently find under or over valued stocks using any investment strategy.
1 Randomness implies that there is an equal chance that stocks are under or over valued at any point in time.
1 CHAPTER 6 MARKET EFFICIENCY – DEFINITION, TESTS AND EVIDENCE What is an efficient market? What does it imply for investment and valuation models? Clearly, market efficiency is a concept that is controversial and attracts strong views, pro and con, partly because of differences between individuals about what it really means, and partly because it is a core belief that in large part determines how an investor approaches investing. This chapter provides a simple definition of market efficiency, considers the implications of an efficient market for investors and summarizes some of the basic approaches that are used to test investment schemes, thereby proving or disproving market efficiency. It also provides a summary of the voluminous research on whether markets are efficient. Market Efficiency and Investment Valuation The question of whether markets are efficient, and if not, where the inefficiencies lie, is central to investment valuation. If markets are, in fact, efficient, the market price provides the best estimate of value, and the process of valuation becomes one of justifying the market price. If markets are not efficient, the market price may deviate from the true value, and the process of valuation is directed towards obtaining a reasonable estimate of this value. Those who do valuation well, then, will then be able to make 'higher' returns than other investors, because of their capacity to spot under and over valued firms. To make these higher returns, though, markets have to correct their mistakes – i.e. become efficient – over time. Whether these corrections occur over six months or five years can have a profound impact in which valuation approach an investor chooses to use and the time horizon that is needed for it to succeed. There is also much that can be learnt from studies of market efficiency, which highlight segments where the market seems to be inefficient. These 'inefficiencies' can provide the basis for screening the universe of stocks to come up with a sub-sample that is
In recent years, blockchain has gained widespread attention as an emerging technology for decentralization, transparency, and immutability in advancing online activities over public networks. As an essential market process, auctions have been well studied and applied in many business fields due to their efficiency and contributions to fair trade. Complementary features between blockchain and auction models trigger a great potential for research and innovation. On the one hand, the decentralized nature of blockchain can provide a trustworthy, secure, and cost-effective mechanism to manage the auction process; on the other hand, auction models can be utilized to design incentive and consensus protocols in blockchain architectures. These opportunities have attracted enormous research and innovation activities in both academia and industry; however, there is a lack of an in-depth review of existing solutions and achievements. In this paper, we conduct a comprehensive state-of-the-art survey of these two research topics. We review the existing solutions for integrating blockchain and auction models, with some application-oriented taxonomies generated. Additionally, we highlight some open research challenges and future directions towards integrated blockchain-auction models.
Investor Assistance (800) 732-0330 www.investor.gov Investor Alert Binary options and Fraud The SEC’s Office of Investor Education and Advocacy and the Commodity Futures Trading Commission’s Office of Consumer Outreach (CFTC) are issuing this Investor Alert to warn investors about fraudulent promotion schemes involving binary options and binary options trading platforms. These schemes allegedly involve, among other things, the refusal to credit customer accounts or reimburse funds to customers, identity theft, and manipulation of software to generate losing trades. Binary Options Binary options differ from more conventional options in significant ways. A binary option is a type of options contract in which the payout will depend entirely on the outcome of a yes/no proposition. The yes/no proposition typically relates to whether the price of a particular asset that underlies the binary option will rise above or fall below a specified amount. For example, the yes/no proposition connected to the binary option might be something as straightforward as whether the stock price of XYZ company will be above $9.36 per share at 2:30 pm on a particular day, or whether the price of silver will be above $33.40 per ounce at 11:17 am on a particular day. once the option holder acquires a binary option, there is no further decision for the holder to make as to whether or not to exercise the binary option because binary options exercise automatically. Unlike other types of options, a binary option does not give the holder the right to purchase or sell the underlying asset. When the binary option expires, the option holder will receive either a pre-determined amount of cash or nothing at all. Given the all-or-nothing payout structure, binary options are sometimes referred to as “all-or-nothing options” or “fixed-return options.” Binary Options Trading Platforms some binary options are listed on registered exchanges or traded on a designated contract market that are subject to oversight by United states regulators such as the seC or CFtC, respectively, but this is only a portion of the binary options market. Much of the binary options market operates through Internet-based trading platforms that are not necessarily complying with applicable U.s. regulatory requirements. The number of Internet-based trading platforms that offer the opportunity to purchase and trade binary options has surged in recent years. The increase in the number of these platforms has resulted in an increase in the number of complaints about fraudulent promotion schemes involving binary options trading platforms. Much of the binary options market operates through Internet-based trading platforms that are not necessarily complying with applicable U.s. regulatory requirements and may be engag- ing in illegal activity.
Binary options A binary option is a financial exotic option in which the payoff is either some fixed monetary amount or nothing at all.[1][2] The two main types of binary options are the cash-or-nothing binary option and the asset-or-nothing binary option. The former pays some fixed amount of cash if the option expires in-the-money while the latter pays the value of the underlying security. They are also called all-or-nothing options, digital options (more common in forex/interest rate markets), and fixed return options (FROs) (on the NYSE American).[3]
While binary options may be used in theoretical asset pricing, they are prone to fraud in their applications and hence banned by regulators in many jurisdictions as a form of gambling.[4] Many binary option outlets have been exposed as fraudulent.[5] The U.S. FBI is investigating binary option scams throughout the world, and the Israeli police have tied the industry to criminal syndicates.[6][7][8] The European Securities and Markets Authority (ESMA) has banned retail binary options trading.[9] Australian Securities & Investments Commission (ASIC) considers binary options as a "high-risk" and "unpredictable" investment option, [10] and finally also banned binary options sale to retail investors in 2021.[11]
The FBI estimates that the scammers steal US$10 billion annually worldwide.[12] The use of the names of famous and respectable people such as Richard Branson to encourage people to buy fake "investments" is frequent and increasing.[13] Articles published in The Times of Israel newspaper explain the fraud in detail, using the experience of former insiders such as a job-seeker recruited by a fake binary options broker, who was told to "leave [his] conscience at the door".[14][15] Following an investigation by The Times of Israel, Israel's cabinet approved a ban on the sale of binary options in June 2017,[16] and a law banning the products was approved by the Knesset in October 2017.[17][18
What Is the Efficient Market Hypothesis (EMH)? The efficient market hypothesis (EMH), alternatively known as the efficient market theory, is a hypothesis that states that share prices reflect all available information and consistent alpha generation is impossible According to the EMH, stocks always trade at their fair value on exchanges, making it impossible for investors to purchase undervalued stocks or sell stocks for inflated prices. 1 Therefore, it should be impossible to outperform the overall market through expert stock selection or market timing. The only way an investor can obtain higher returns is by purchasing riskier investments.
The term market refers to the place where a group of suppliers and demanders come together to engage in transactions involving a particular good or service. From this confrontation arises a price, referred to as the market price. In theory, there are several types of markets: When a market is characterized by a significant number of economic agents (sellers and buyers), such that no agent can individually influence the behavior of others and the market price with their decisions, it is a market of pure and perfect competition. When there is only one seller in a market on one hand and a large number of buyers on the other, it is referred to as a monopoly market. Conversely, if there is only one buyer and several sellers, the market is a monopsony. When a market is characterized by a small group of sellers and a large number of buyers, it is referred to as an oligopoly (however, if there are only two sellers in the market, we will refer to it as a duopoly). Oligopsony is the situation in which the number of buyers is negligible while that of sellers is significant. When competing companies in a market sell identical but slightly differentiated goods from one another, it is referred to as a monopolistic competition market. The market price is determined by the confrontation of supply and demand. However, the market is in equilibrium when the market supply equals the demand expressed in the market.
#BNBChainMeme This paper reviews the development of capital market theories based on the assumption of capital market efficiency, which includes the efficient market hypothesis (EMH), modern portfolio theory (MPT), the capital asset pricing model (CAPM), the implications of MPT in asset allocation decisions, criticisms regarding the market portfolio and the development of the arbitrage pricing theory (APT). An alternative school of thought proposes that investors are irrational and that their trading behaviors are driven by psychological biases such as greed and fear. Prospect theory and the role of behavioral finance that describe investment decisions in imperfect capital markets are presented to contrast the Utopian assumption of perfect market efficiency. The paper concludes with the argument of Hirshleifer (2001) that heuristics are shared by investors and asset prices may not reflect their long-term intrinsic values as indicated by efficient capital market theories.
This paper reviews the development of capital market theories based on the assumption of capital market efficiency, which includes the efficient market hypothesis (EMH), modern portfolio theory (MPT), the capital asset pricing model (CAPM), the implications of MPT in asset allocation decisions, criticisms regarding the market portfolio and the development of the arbitrage pricing theory (APT). An alternative school of thought proposes that investors are irrational and that their trading behaviors are driven by psychological biases such as greed and fear. Prospect theory and the role of behavioral finance that describe investment decisions in imperfect capital markets are presented to contrast the Utopian assumption of perfect market efficiency. The paper concludes with the argument of Hirshleifer (2001) that heuristics are shared by investors and asset prices may not reflect their long-term intrinsic values as indicated by efficient capital market theories.