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Machine Learning Summer School 2007 - Tuebingen
Pascal

Machine learning and finance

author: László Györfi , Budapest University of Technology and Economics
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Slides
0:01 Machine learning and portfolio selections. I
5:16 Growth rate part 1
6:21 Growth rate part 3
9:54 Static portfolio selection part 1
11:03 Static portfolio selection part 2
11:34 Static portfolio selection part 3
12:45 Assume that part 1
12:52 Assume that part 2
14:12 Assume that part 3
16:03 Dynamic portfolio selection: part 1
16:34 Dynamic portfolio selection: part 2
17:35 For the first day part 1
17:54 For the first day part 2
19:16 log-optimum portfolio
22:58 Optimality part 1
24:03 Optimality part 2
24:18 Proof part 1
25:12 Proof part 2
26:05 History part 1
26:28 History part 2
26:54 Example 1 part 1
28:20 Example 1 part 2
28:46 Example 1 part 3
29:59 Example 1 part 4
30:06 Example 1 part 5
35:07 Cash part 1
35:40 Cash part 2
36:49 Cash part 3
37:31 Cash part 3
38:03 Example 2
39:38 Example 2
39:56 Example 2
40:09 Example 3
40:48 Example 5 part 1
43:44 Example 5 part 2
43:55 Example 5 part 3
44:05 Example 5 part 4
46:03 Example 5 part 5
46:31 Example 5 part 6
47:07 Graph

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Reviews and comments:

Comment1 sk, December 24, 2007 at 1:02 a.m.:

Dear All,

it is a good lecture and worth to see it for research reference.


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