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Mastering R for Quantitative Finance

Mastering R for Quantitative Finance

By : Gabler
4 (11)
close
Mastering R for Quantitative Finance

Mastering R for Quantitative Finance

4 (11)
By: Gabler

Overview of this book

This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.
Table of Contents (15 chapters)
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14
Index

References


  • Anand, Kartik, Ben Craig and Goetz von Peter (2014): Filling in the blanks: network structure and interbank contagion, Discussion Paper Deutsche Bundesbank, No. 02/2014

  • Berlinger, E., M. Michaletzky and M. Szenes (2011): A fedezetlen bankközi forintpiac hálózati dinamikájának vizsgálata a likviditási válság előtt és után (Network dynamics of unsecured interbank HUF markets before and after the liquidity crisis). Közgazdasági Szemle, Vol LVIII. No. 3

  • Billio, Monica, Mila Getmansky, Dale Gray, Andrew W. Lo, Robert C. Merton and Loriana Pelizzon: Sovereign, Bank, and Insurance Credit Spreads: Connectedness and System Networks, Mimeo, 2013

  • BIS (2011): Global systemically important banks: assessment methodology and the additional loss absorbency requirement, Rules text November 2011

  • Borgatti, Stephen, and Martin Everett (1999): Models of core/periphery structures, Social Networks 21

  • Bron, Coen and Kerbosch, Joep (1973): Algorithm 457: finding all cliques of an undirected graph, Communications...

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