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1

Pole, Andrew, ed. Statistical Arbitrage. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119197072.

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2

Ang, Andrew. A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables. National Bureau of Economic Research, 2001.

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3

United States. National Aeronautics and Space Administration., ed. Power flow analysis of two coupled plates with arbitrary characteristics: Fourth semi-annual report, grant number NAG-1-685. Florida Atlantic University, College of Engineering, Department of Ocean Engineering, Center for Acoustics and Vibrations, 1988.

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4

Pole, Andrew. Statistical Arbitrage. Wiley & Sons, Incorporated, John, 2010.

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5

Making Money with Statistical Arbitrage. GRIN Verlag GmbH, 2013.

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6

Pole, Andrew. Statistical Arbitrage: Algorithmic Trading Insights and Techniques. Wiley & Sons, Limited, John, 2015.

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7

Pole, Andrew. Statistical Arbitrage: Algorithmic Trading Insights and Techniques. Wiley & Sons, Incorporated, John, 2011.

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8

Pole, Andrew. Statistical Arbitrage: Algorithmic Trading Insights and Techniques. Wiley & Sons, Incorporated, John, 2009.

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9

Pole, Andrew. Statistical Arbitrage: Algorithmic Trading Insights and Techniques. Wiley & Sons, Incorporated, John, 2008.

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10

Pole, Andrew. Statistical Arbitrage: Algorithmic Trading Insights and Techniques (Wiley Finance). Wiley, 2007.

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11

Isichenko, Michael. Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage. Wiley & Sons, Incorporated, John, 2021.

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12

Isichenko, Michael. Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage. Wiley & Sons, Incorporated, John, 2021.

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13

Isichenko, Michael. Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage. Wiley & Sons, Limited, John, 2021.

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14

Whistler, Mark. Trading Pairs: Capturing Profits and Hedging Risk with Statistical Arbitrage Strategies. Wiley & Sons, Incorporated, John, 2008.

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15

Whistler, Mark. Trading Pairs + CD: Capturing Profits and Hedging Risk with Statistical Arbitrage Strategies. Wiley, 2004.

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16

Sfakianakis, Konstantinos. Statistical Arbitrage and Long Run Relations: Evidence from two different stock markets. VDM Verlag Dr. Müller, 2011.

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17

Making Money with Statistical Arbitrage: Generating Alpha in Sideway Markets with This Option Strategy. Anchor Academic Publishing. ein Imprint der Diplomica Verlag GmbH, 2013.

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18

Park, Chang. Test of the Market Efficiency Using Statistical Arbitrage Strategies in the KRX Equity Market. Independently Published, 2015.

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19

Back, Kerry E. Factor Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0006.

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The CAPM and factor models in general are explained. Factors can be replaced by the returns or excess returns that are maximally correlated (the projections of the factors). A factor model is equivalent to an affine representation of an SDF and to spanning a return on the mean‐variance frontier. The use of alphas for performance evaluation is explained. Statistical factor models are defined as models in which factors explain the covariance matrix of returns. A proof is given of the Arbitrage Pricing Theory, which states that statistical factors are approximate pricing factors. The CAPM and the
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20

Power flow analysis of two coupled plates with arbitrary characteristics. National Aeronautics and Space Administration, Langley Research Center, 1990.

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21

Karen L, Remmer. The Outcomes of Investment Treaty Arbitration. Oxford University Press, 2017. http://dx.doi.org/10.1093/law-iic/9780198809722.016.0004.

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This chapter explores variations in dispute outcomes in investment treaty arbitration. Building on the literature on political institutions, the study places the theoretical importance of actor information about the rules of the game and the resources of the participants at the centre of analysis. Such information shapes the strategy of the players and their relative ability to compete successfully, establishing the basis for hypotheses about variations in dispute outcomes. Drawing on the universe of known disputes, the analysis relies on statistical models and data capable of addressing concu
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22

Frigg, Roman. Chance and Determinism. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.24.

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Determinism and chance seem to be irreconcilable opposites: either something is chancy or it is deterministic, but not both. Yet there are processes which appear to square the circle by being chancy and deterministic at once, and the appearance is backed by well-confirmed scientific theories, such as statistical mechanics, which also seem to provide us with chances for deterministic processes. Is this possible, and if so how? In this chapter is a discussion of this question for probabilities as they occur in the empirical sciences. Particular attention is paid to broadly Humean approaches and
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23

Longmore, Murray, Ian B. Wilkinson, Andrew Baldwin, and Elizabeth Wallin. Reference intervals, etc. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199609628.003.0018.

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The Gaussian (‘Normal’) distributionDrug therapeutic ranges in plasmaGentamicinSome important drug interactionsHaematology reference intervalsBiochemistry reference intervalsOnce upon a time, in a famous hospital named R— in the middle of England, there lived a crusty old surgeon and a brilliant young house officer. The surgeon issued infallible and peremptory edicts such as “All my patients with a haemoglobin less than 100 must be transfused.” Everyone did as the surgeon said (this was a long time ago) except for the wily house officer who understood statistics, sampling error, and the play o
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24

Clarke, Andrew. Temperature and its measurement. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199551668.003.0003.

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Temperature is that property of a body which determines whether it gains or loses energy in a particular environment. In classical thermodynamics temperature is defined by the relationship between energy and entropy. Temperature can be defined only for a body that is in thermodynamic and thermal equilibrium; whilst organisms do not conform to these criteria, the errors in assuming that they do are generally small. The Celsius and Fahrenheit temperature scales are arbitrary because they require two fixed points, one to define the zero and the other to set the scale. The thermodynamic (absolute)
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25

Richard, Kreindler, Wolff Reinmar, and Rieder Markus S. Commercial Arbitration in Germany. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780199676811.001.0001.

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This book provides a detailed commentary on and analysis of German arbitration law and practice. This title covers both domestic and international arbitration in all its stages. The work details the legal framework for German-related arbitration and provides practical guidance on the appropriate choices, with a specific focus on particularities of German law and practice. The book navigates along the life cycle of an arbitration, commencing with the arbitration agreement, continuing with the arbitral tribunal, the arbitral proceedings and interim relief, and concluding with the arbitral award
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26

Binomial Models in Finance. Springer London, Limited, 2006.

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27

Binomial Models in Finance (Springer Finance). Springer, 2005.

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28

Michael J, Moser, and Bao Chiann. A Guide to the HKIAC Arbitration Rules. Oxford University Press, 2017. http://dx.doi.org/10.1093/law/9780198712251.001.0001.

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This book provides a detailed commentary on the Hong Kong International Arbitration Centre (HKIAC) Administered Arbitration Rules providing practitioners with an insider’s perspective on how the HKIAC Secretariat administers arbitrations under these rules. HKIAC is one of the world’s most sophisticated arbitration institutions, which established a set of Administered Arbitration Rules in 2008. Since then, HKIAC has enjoyed a continued yearly growth in cases. In 2015, HKIAC saw a record number of arbitration cases in 2012. This guide makes reference to the Hong Kong Arbitration Ordinance as wel
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29

Downward Causation and the Neurobiology of Free Will. Springer, 2009.

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30

O'Connor, Timothy, Nancey Murphy, and George F. R. Ellis. Downward Causation and the Neurobiology of Free Will. Springer, 2012.

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