10 books
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4 voters
Graphs Books
Showing 1-50 of 52

by (shelved 4 times as graphs)
avg rating 3.88 — 147 ratings — published 2005

by (shelved 2 times as graphs)
avg rating 4.12 — 576 ratings — published

by (shelved 2 times as graphs)
avg rating 4.35 — 567 ratings — published 2016

by (shelved 2 times as graphs)
avg rating 4.39 — 8,621 ratings — published 1983

by (shelved 1 time as graphs)
avg rating 0.0 — 0 ratings — published

by (shelved 1 time as graphs)
avg rating 4.10 — 1,687 ratings — published 2011

by (shelved 1 time as graphs)
avg rating 3.96 — 316 ratings — published

by (shelved 1 time as graphs)
avg rating 3.73 — 987 ratings — published 1999

by (shelved 1 time as graphs)
avg rating 4.05 — 31,286 ratings — published 2015

by (shelved 1 time as graphs)
avg rating 3.94 — 597 ratings — published 2019

by (shelved 1 time as graphs)
avg rating 4.43 — 35 ratings — published

by (shelved 1 time as graphs)
avg rating 4.24 — 207 ratings — published 2010

by (shelved 1 time as graphs)
avg rating 4.42 — 19 ratings — published

by (shelved 1 time as graphs)
avg rating 4.09 — 608 ratings — published 1994

by (shelved 1 time as graphs)
avg rating 4.50 — 2 ratings — published 2015

by (shelved 1 time as graphs)
avg rating 4.05 — 75 ratings — published 1985

by (shelved 1 time as graphs)
avg rating 3.97 — 93 ratings — published 1993

by (shelved 1 time as graphs)
avg rating 4.16 — 305 ratings — published 2010

by (shelved 1 time as graphs)
avg rating 3.38 — 26 ratings — published

by (shelved 1 time as graphs)
avg rating 4.20 — 4,830 ratings — published 2008

by (shelved 1 time as graphs)
avg rating 3.95 — 896 ratings — published 2014

by (shelved 1 time as graphs)
avg rating 4.39 — 7,944 ratings — published 2015

by (shelved 1 time as graphs)
avg rating 4.17 — 677 ratings — published 2009

by (shelved 1 time as graphs)
avg rating 3.92 — 4,531 ratings — published 2004

by (shelved 1 time as graphs)
avg rating 4.02 — 1,796 ratings — published 2010

by (shelved 1 time as graphs)
avg rating 4.06 — 6,752 ratings — published 2021

by (shelved 1 time as graphs)
avg rating 4.31 — 2,632 ratings — published

by (shelved 1 time as graphs)
avg rating 4.42 — 8,164 ratings — published 2020

by (shelved 1 time as graphs)
avg rating 3.54 — 24 ratings — published 2013

by (shelved 1 time as graphs)
avg rating 4.08 — 70,504 ratings — published 2001

by (shelved 1 time as graphs)
avg rating 4.10 — 101,648 ratings — published 1999

by (shelved 1 time as graphs)
avg rating 4.25 — 9,743 ratings — published 2018

by (shelved 1 time as graphs)
avg rating 4.12 — 3,531 ratings — published 2001

by (shelved 1 time as graphs)
avg rating 3.43 — 68 ratings — published

by (shelved 1 time as graphs)
avg rating 3.69 — 375 ratings — published 2015

by (shelved 1 time as graphs)
avg rating 3.57 — 1,359 ratings — published 1995

by (shelved 1 time as graphs)
avg rating 3.52 — 31 ratings — published 2012

by (shelved 1 time as graphs)
avg rating 3.85 — 13 ratings — published 2014

by (shelved 1 time as graphs)
avg rating 3.96 — 120,472 ratings — published 2007

by (shelved 1 time as graphs)
avg rating 3.91 — 23 ratings — published 2002

by (shelved 1 time as graphs)
avg rating 3.78 — 170 ratings — published 2007

by (shelved 1 time as graphs)
avg rating 4.15 — 188 ratings — published 2013

by (shelved 1 time as graphs)
avg rating 4.07 — 98 ratings — published 2004

by (shelved 1 time as graphs)
avg rating 3.85 — 240 ratings — published 1997

by (shelved 1 time as graphs)
avg rating 3.62 — 333 ratings — published 2012

by (shelved 1 time as graphs)
avg rating 4.08 — 13 ratings — published 1999

by (shelved 1 time as graphs)
avg rating 4.00 — 2 ratings — published 1999

by (shelved 1 time as graphs)
avg rating 4.27 — 120,371 ratings — published 1993

by (shelved 1 time as graphs)
avg rating 4.13 — 604 ratings — published 1997

by (shelved 1 time as graphs)
avg rating 5.00 — 1 rating — published 2002
“What if we looked at the law as a piece of software, the operating system of the United States of America. After all, laws play the same role as software in providing instructions for a given system - if this, then that, and so on. If a team of software engineers was asked to analyze the entire body of federal law, they would see tens of thousand of pages of poorly documented code, with a multitude of complex, spaghetti-like interdependencies between the individual components. Could the principles of good software design be used to improve the way we write financial regulations?
Li, William, Pablo Azar, David Larochelle, Phil Hill, and Andrew W. Lo. 2015. 'Law Is Code: A Software Engineering Approach to Analyzing the United States Code.' Journal of Business and Technology Law 10: 297.
A useful feature of network graphs if the ability to model contagion. Like an epidemiologist studying the spread of a contagious disease from its point of origin, we should identify the potential linkages through which a financial crisis may travel.
Billio, Monica, Mila Getmansky, Andrew W. Lo, and Loriana Pelizzon, 2012. 'Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors.' Journal of Financial Economics, 104: 535-559.
This approach can also be used to measure the network of banks, insurance companies, and sovereign nations. The idea is to see how macroeconomic problems facing countries might get transmitted to the financial system and vice versa.
Billio, Monica, Mila Getmansky, Dale Gray, Andrew W. Lo, Robert C. Merton, and Loriana Pelizzon. 2016. 'Granger-Causality Networks of Sovereign Risk.' Working Paper, MIT Laboratory for Financial Engineering.”
― Adaptive Markets: Financial Evolution at the Speed of Thought
Li, William, Pablo Azar, David Larochelle, Phil Hill, and Andrew W. Lo. 2015. 'Law Is Code: A Software Engineering Approach to Analyzing the United States Code.' Journal of Business and Technology Law 10: 297.
A useful feature of network graphs if the ability to model contagion. Like an epidemiologist studying the spread of a contagious disease from its point of origin, we should identify the potential linkages through which a financial crisis may travel.
Billio, Monica, Mila Getmansky, Andrew W. Lo, and Loriana Pelizzon, 2012. 'Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors.' Journal of Financial Economics, 104: 535-559.
This approach can also be used to measure the network of banks, insurance companies, and sovereign nations. The idea is to see how macroeconomic problems facing countries might get transmitted to the financial system and vice versa.
Billio, Monica, Mila Getmansky, Dale Gray, Andrew W. Lo, Robert C. Merton, and Loriana Pelizzon. 2016. 'Granger-Causality Networks of Sovereign Risk.' Working Paper, MIT Laboratory for Financial Engineering.”
― Adaptive Markets: Financial Evolution at the Speed of Thought