MARC details
000 -LEADER |
fixed length control field |
02303nam a2200349 i 4500 |
001 - CONTROL NUMBER |
control field |
CR9781108883658 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
UkCbUP |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240912192154.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr|||||||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
191031s2020||||enk o ||1 0|eng|d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781108883658 (ebook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
Canceled/invalid ISBN |
9781108792899 (paperback) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
UkCbUP |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
UkCbUP |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
HG1615.25 |
Item number |
.L66 2020 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
332.10681 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
López de Prado, Marcos Mailoc, |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Machine learning for asset managers / |
Statement of responsibility, etc. |
Marcos M. López de Prado. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cambridge : |
Name of producer, publisher, distributor, manufacturer |
Cambridge University Press, |
Date of production, publication, distribution, manufacture, or copyright notice |
2020. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource (141 pages) : |
Other physical details |
digital, PDF file(s). |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
490 0# - SERIES STATEMENT |
Series statement |
Cambridge elements. Elements in quantitative finance, 2631-8571 |
500 ## - GENERAL NOTE |
General note |
Title from publisher's bibliographic system (viewed on 08 Apr 2020). |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to "learn" complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Asset-liability management |
General subdivision |
Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Machine learning. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Print version: |
International Standard Book Number |
9781108792899 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1017/9781108883658">https://doi.org/10.1017/9781108883658</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
eBooks |