"Algorithmic trading" Essays and Research Papers

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    e A Critical Review of the European Union’s Emissions Trading: An Understanding from Concept to Reality The way in which Western‚ developed states have sought to deal with environmental problems‚ and particularly climate change‚ can be encapsulated within the ecological modernisation agenda; the notion of which implies that ‘market forces in partnership with an enabling state are seen as the means of achieving both economic and environmental objectives’ (Blowers 2000‚ p. 1). One could argue how

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    McKinsey & Company Insider Trading Scandal and Moral Hazard James Emmitt Assignment Wk. 3 – MBA 723 E1WW W15 Prof. Ed DeJaegher Jan. 26th‚ 2015 The recent insider trading scandal at McKinsey & Company in 2010 provides an excellent example of the impact of a morally hazardous culture and climate within the internal environment of the organization (Raghavan‚ 2014). In 2010‚ Dominic Barton‚ Managing Director of McKinsey‚ an 87-year-old global consulting firm with annual revenues in excess

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    a disadvantage.(Matthews) In 2013‚ Steven Metro‚ a managing clerk at Simpson Thacher & Bartlett LLP‚ Vladimir Eydelman‚ a broker at Morgan Stanley and previously at Oppenheimer & Co and Frank Tomayo‚ a mortgage broker were convicted of an insider trading scheme that generated $5.6 million of illicit profit. To avoid computer surveillance and traces of evidence‚ Tomayo passed on insider information given by Metro to Eydelman through post-it notes and by chewing them up. The insider information that

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    trading

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    MY  TRADING  JOURNEY 14TH  October  2014 X`   Introduc?on   INTRODUCTION       MY  TRADING   JOURNEY       LESSONS       WHAT  I  REALLY   WANT  TO  TELL   YOU   2009  ~  2012  River  Valley  High  School   X`   Introduc?on   INTRODUCTION       MY  TRADING   JOURNEY       LESSONS       WHAT  I  REALLY  

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    Trading

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    retail investors survive under the High Frequency Trading environment? Nowadays‚ the term “High frequency Trading” seems becomes more and more familiar to the investors. According to Telis Demos‚ 84% of all stock trades are by High Frequency computers and only 16% are done by human traders in United States (Telis‚ 2012). Trading by “real” investor is taking up the smallest share of US stock market volumes. According to the SEC‚” High Frequency Trading employs technology and algorithms to capitalize

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    Trading

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    Trading & Profit & Loss A/c - deals with Revenue & Expense Trading Account - deals with Gross Profit (π) or Gross Loss Profit & Loss - deals with Net Profit (π) or Net Loss Balance Sheet - deals with Assets‚ Liabilities & Capital Direct Revenue & Direct Expense - deals with the Trading A/c Indirect Revenue & Indirect Expense - deals with the Profit & Loss A/c The Accounting Period - is generally a quarter or a year and reflects all of the financial activity that occurred during that time

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    Trading and Speculation

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    Intro Abuse Risk Activities Policy Chapter 9 Trading and Speculation Jon Danielsson © 2009‚ 2010‚ 2011‚ 2012 LSE Michaelmas Term 2012 Intro Abuse Risk Activities Policy Introduction Intro Abuse Risk Activities Policy Speculation Force for good and force for bad • Speculators help farmers to plan production • And traders to threaten the financial system • There is no clear definition • But generally investment is long–term‚ speculation

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    Sudoku

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    Nowadays‚ sudoku appears as a popular puzzle games. It easily can be found on the newspapers and also on the internet. This kind of games are good for brain. Other than that‚ sudoku also gives another benefits for the players. Based on reading from a number articles and sources‚ the benefits of the sudoku are increasing the logical skills‚ develop patience‚ enhances mental sharpness and provide good alternative. With playing the sudoku‚ it will improve the capabilities of thinking logically or

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    Parallel Arrays

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    Parallel arrays and arrays of structures An array of structures are usually equivalent to parallel arrays of the components. For example‚ if each student record consists of an ID number and a GPA value‚ then a list of students can be represented as an array of structure: The same data can be stored as two arrays that "parallel" to each other‚ in the sense that the same index in them indicate data for the same student: Usually the first way is more natural and convenient. Advantages and

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    Pair Trading

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    EXECUTIVE SUMMARY ………………………………………………………………..2 PAIRS TRADING: INTRODUCTION……………………………………………………..3 KEY CHARACTERISTICS………………………………………………………………….5 INSTRUMENTS USED FOR PAIRS TRADING ………………………………………...8 STRATEGY …………………………………………………………………………………10 TESTING FOR MEAN REVERSION ……………………………………………………10 PAIRS TRADING MODEL ………………………………………………………………..11 a. Screening for Pairs b. Trading Rules c. Risk Management d. Risk involved STEPS IN PAIR TRADING ……………………………………………………………….14 CASES ………………………………………………………………………………………

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