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Realising the Potential of Africa`s Stock Exchanges
Realising the Potential of Africa`s Stock Exchanges

partition-dependent framing effects in lab and field prediction markets
partition-dependent framing effects in lab and field prediction markets

Note: For any question with numbers, all of the points are earned by
Note: For any question with numbers, all of the points are earned by

... three months from today. Six months from today, the new facility will generate an initial net, after-tax cash flow of $13,000. After this initial cash flow, net cash flows from the new facility will grow by 0.5% per month through 5 years from today (when the facility will be closed). Should Gambler ...
Option Electricity Market Design Under UI Mechanism In India
Option Electricity Market Design Under UI Mechanism In India

... (UI) mechanism is used to control frequency deviation, thereby maintaining the security of the system in real time. The work applies conceptual option market framework to hedge the profit risk against price fluctuation in Indian spot market from a power generators’ prospective. These options instrum ...
Price jump prediction in a limit order book
Price jump prediction in a limit order book

... give an empirical result on the relationship between the bid-ask liquidity balance and trade sign and we show that the liquidity balance on the best bid/best ask is quite informative for predicting the future market order’s direction. Moreover, we define price jump as a sell (buy) market order arriv ...
TRANSFER PRICE
TRANSFER PRICE

Technical Analysis Around the World: Does it Ever Add Value?
Technical Analysis Around the World: Does it Ever Add Value?

... technical trading rules perform better in emerging markets than developed markets, which is consistent with the finding of previous studies that these markets are less efficient, but this result is not strong. While we cannot rule out the possibility that technical analysis compliments other market ...
The Black-Scholes Model
The Black-Scholes Model

Negotiable/Transferable Instruments Conventions
Negotiable/Transferable Instruments Conventions

The Three Biggest Risks to Successful Investing
The Three Biggest Risks to Successful Investing

WHAT IS A COMPETITIVE MARKET?
WHAT IS A COMPETITIVE MARKET?

Futurization of Swaps
Futurization of Swaps

... exchange of payments on one type of loan (say, one made at a fixed interest rate) for payments on another type of loan (one whose interest rate generally fluctuates with a common benchmark, such as the controversial LIBOR). A CDS is a contract under which the seller pays the buyer if the loan, or cr ...
Comparing Forecast Performance of Stock Market and Macroeconomic Volatilities: An US Approach:
Comparing Forecast Performance of Stock Market and Macroeconomic Volatilities: An US Approach:

Int`l Trade
Int`l Trade

Investing assignment sheet
Investing assignment sheet

... EverFi – stocks, bonds, mutual funds, shareholders, dividends, price to earnings ratio. VB – back end loan, FDIC insured, front end loan, VB – capital gain, capital loss, common stock, money market, VB-Bear market, blue chip stock, bull market, diversification, investment portfolio, large-cap stock, ...
No Slide Title
No Slide Title

Estimating a Structural Model of Herd Behavior in Financial Markets
Estimating a Structural Model of Herd Behavior in Financial Markets

Microsoft Silverlight Catching Up To Adobe Flash
Microsoft Silverlight Catching Up To Adobe Flash

Journal of - QuantLabs.net
Journal of - QuantLabs.net

... Hereafter, we refer to Eq. (10) above as the improved quadratic formula. Recall that X = K e - r T represents a discounted strike price and the substitutions S = Me(b-,)r and S = F e - r r extends Eq. (10) to the cases of commodity options and futures options, respectively. In graphical analyses not ...
Price Discovery and Trading After Hours
Price Discovery and Trading After Hours

... are electronic trading systems run by Nasdaq. Because the execution times for these trades are very reliable, we match the trade with the inside quote one second before the trade execution time. For all other trades, we match the trade with the inside quote three seconds before the trade execution t ...
PHASERX, INC. (Form: 8-K, Received: 08/24/2016
PHASERX, INC. (Form: 8-K, Received: 08/24/2016

Download attachment
Download attachment

... Historical money market regulation of the Dutch central bank (DNB) Until 1986 no one except the Dutch government was allowed to issue short-term tradable debt securities such as CP, CDs. Commercial bills were used very little. Furthermore, an agreement with the Dutch government restricted the volume ...
Answers to Chapter 23 Questions
Answers to Chapter 23 Questions

Strategic Challenges Facing HKEx
Strategic Challenges Facing HKEx

... International investors contributed significantly to HKEx stock and derivatives markets’ turnover ...
Methodology of Exchange Design
Methodology of Exchange Design

... Generalized Uniform Price Call Market works very well with single-minded traders. – Open question: what if they are not single-minded? Conjecture from BFL: still ok. ...
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2010 Flash Crash



The May 6, 2010, Flash Crash also known as The Crash of 2:45, the 2010 Flash Crash or simply the Flash Crash, was a United States trillion-dollar stock market crash, which started at 2:32 and lasted for approximately 36 minutes. Stock indexes, such as the S&P 500, Dow Jones Industrial Average and Nasdaq 100, collapsed and rebounded very rapidly.The Dow Jones Industrial Average had its biggest intraday point drop (from the opening) up to that point, plunging 998.5 points (about 9%), most within minutes, only to recover a large part of the loss. It was also the second-largest intraday point swing (difference between intraday high and intraday low) up to that point, at 1,010.14 points. The prices of stocks, stock index futures, options and ETFs were volatile, thus trading volume spiked. A CFTC 2014 report described it as one of the most turbulent periods in the history of financial markets.On April 21, 2015, nearly five years after the incident, the U.S. Department of Justice laid ""22 criminal counts, including fraud and market manipulation"" against Navinder Singh Sarao, a trader. Among the charges included was the use of spoofing algorithms; just prior to the Flash Crash, he placed thousands of E-mini S&P 500 stock index futures contracts which he planned on canceling later. These orders amounting to about ""$200 million worth of bets that the market would fall"" were ""replaced or modified 19,000 times"" before they were canceled. Spoofing, layering and front-running are now banned.The Commodity Futures Trading Commission (CFTC) investigation concluded that Sarao ""was at least significantly responsible for the order imbalances"" in the derivatives market which affected stock markets and exacerbated the flash crash. Sarao began his alleged market manipulation in 2009 with commercially available trading software whose code he modified ""so he could rapidly place and cancel orders automatically."" Traders Magazine journalist, John Bates, argued that blaming a 36-year-old small-time trader who worked from his parents' modest stucco house in suburban west London for sparking a trillion-dollar stock market crash is a little bit like blaming lightning for starting a fire"" and that the investigation was lengthened because regulators used ""bicycles to try and catch Ferraris."" Furthermore, he concluded that by April 2015, traders can still manipulate and impact markets in spite of regulators and banks' new, improved monitoring of automated trade systems.As recently as May 2014, a CFTC report concluded that high-frequency traders ""did not cause the Flash Crash, but contributed to it by demanding immediacy ahead of other market participants.""Recent research shows that Flash Crashes are not isolated occurrences, but have occurred quite often over the past century. For instance, Irene Aldridge, the author of High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems, 2nd ed., Wiley & Sons, shows that Flash Crashes have been frequent and their causes predictable in market microstructure analysis.
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