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https://arxiv.org/pdf/2006.02318
org/pdfua/ns/id/ pdfuaid PDF/UA ID Schema internal Part of PDF/UA standard part Integer PRISM metadata http://prismstandard
https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset
M Additional Empirical Application: Fishing-site Choice
M
https://arxiv.org/html/2607.22511v2
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https://arxiv.org/html/2407.00419v1
Two natural assumptions in such settings are that: 1) all agents in the population are individually rational learners, and 2) when any two members of the population are paired together, with high-probability they will achieve at least the same utility as they would under some Pareto efficient equilibrium strategy
https://arxiv.org/html/2608.03504v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2407.20187v1
uk    Adrian Vetta McGill University: adrian
https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.03063
‘Êõë÷Ù”º›‡@°¤ê:^½ª¾(1ÉtÌãÂ0Íxª™a2ŠX̤6,aJ(–2•B#bZÆ93†CŸÅo’Å4¦XbbÆ5KUĸ�2F8$QŒ÷V Âfø# "RÁÈ^Ex‡WeðU-5CH®�D PᦱÁ;ü%2aþ’ïð—ÆxáRâ�ÃU¤˜$Wqʤ„�ï ¦øB®|‘uŠÈ/' .¥ …4�‚4À©à2N98À�QLIˆ@ƒÂG‘â]ã#Œ�šÒ ìð2 8£ð*"ñ4TS°¤9>‚Âú…àÜ+à
https://arxiv.org/pdf/2608.03883
org/pdfua/ns/id/ pdfuaid PDF/UA ID Schema internal Part of PDF/UA standard part Integer PRISM metadata http://prismstandard
https://arxiv.org/pdf/2608.01785
Ö]uÑmrÒBk"W\Iî‚ÔpÈ‘%¯ûzÖ¬úfSõM·¬«‹Åùɶƒ£Î·‹y3BGQ*ÀB`h`2w¥� ’±þ´ú¼ÿþCuš„¯Ö›v¾�õ]õ¾ÝüÖõ5¿×U›þòÑÆè„èâŠË)è„Bà ¦¬USûè:áéYÓu¸®—'ó¦ûo×'çëíN[ü:Vc }©PØÙ oº+�-擵_QãzqòÑýøTa¡ª�+Õ| ¤¤‰Uk×ͪ^dµ«ysY½m–Ë>êOl;&[¬X(Q¦Kòì˜$êi‹ìá1ݦNÙnÎ+â_¥ê§ÓÇ�€~�dµÒÕ™¢4Æ^f¬¥SWE08Ní Ž-$´Õâ2k2kWgͦYÍšê¬îzíg ~ÞÅSõßÅj„OP~zTÆ
https://arxiv.org/html/2403.16413v3
org perpetual non-exclusive license
arXiv:2403
https://arxiv.org/html/2607.28847v1
2 Proof of Lemma 1 (Optimality of Boundary Crossing)
D
https://arxiv.org/html/2608.02909v1
uk
Enamorado: Washington University in St
https://arxiv.org/html/2309.08431v3
Oxford, UK
Abstract
Constant product markets with concentrated liquidity (CL) are the most popular type of automated market makers
https://arxiv.org/html/2407.00575v3
Even worse, the manager would need to collect the parameters periodically if they are time-varying, and then solve the large-scale optimization problem again
https://arxiv.org/html/2508.08980v3
org perpetual non-exclusive license
arXiv:2508
https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
https://arxiv.org/html/2604.05327v4
This version:
I would like to thank Xu Cheng, Frank Diebold, Wayne Gao, George Mailath, and seminar participants at Chicago Booth, Paris Econometrics Seminar, Toulouse School of Economics, and the University of Pennsylvania for valuable discussions and comments that substantially improved this article
https://arxiv.org/html/2608.02943v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2407.04889v1
(2019b); however, in general settings it is not known how to best play against mean-based learners, even if the agent knows everything about the learners, and can predict with certainty what actions they would take as a function of the history of play
https://arxiv.org/html/2608.03703v1
begun on July 20, 2026; the present version is dated August 4, 2026. Claude Opus 5 and Fable 5 provided research assistance throughout, spanning code development, data construction and empirical analysis, and the drafting of the manuscript.
https://arxiv.org/html/2407.18010v2
Since acting at each available opportunity would accumulate prohibitively large costs, the resulting decision problem is one in which players must make strategic decisions about when to execute actions in addition to their choice of action
https://arxiv.org/list/math/new
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New submissions (showing 219 of 219 entries)
[1] arXiv:2608
https://arxiv.org/src/2405.20232
ežeaMôçifÕ·–ý²Mã³L×âêIݨchŠ>wa�1rÃúîÔv‘JŠ”Pcç):òüôMjA¦¡ÓKü4˜l”Ã}]$có%ͱo·§ß9ŸþE†¯Iöù¸;¥5~n;Yç•üÊmTkkáë 8¤½Oú]kú=@ÁF�uN=1€HÆ$žëa‡Á
https://arxiv.org/pdf/2006.00342
¾ól0I°a“p5dHPñnEï »Y’´If×¢\) ¼B`)(cMÜ6g÷ëaºI6öö®jT·]9=Œ°`„Îãé¶ÖèÔ
https://arxiv.org/src/2608.04009
8iþýÒêUkÕù_H-Oï\¸¿ó4auÿõß½÷¸UýGž5ÿ´©g\ÏŸ0oƼô±;žùõ„«¶peOÜóá5osÇsï¾wiÿ„ÐÌ®’#kw�»~þŒ\dþÏ冥äÈk…å—/›Ôºeùe[:¹bÛ]O\‘ ¼û›S:®{x×ﻞRŽ9iÓ£Á“¥‹7ú_žÛ1L²¦‰�¶mÛ¶mOÛö´5mÛ¶ÍiÛ¶mÛ6n½ß9÷üÉÊÈX±ÖŠÈ]Ï®:'ŸcïGå ÿ@mƒ
https://arxiv.org/src/1910.03771
6„Aгûk½„~úûû…cñ@>ÚÔ¼ºWub/ðEP»½Ê¬{™ˆâå¦+êü“TºÒ:aSW-—Ë¢²,à:¶ £µœy Kµ™Äü+vª6Î�& à0�;Ïó«PÆ"_—ñ�ßiUp|ü`QA³ÓrEìÅM·lVn‡AÕukÐBÌV«…ndVŒ \…ï´°ò)ªœYƒÐ ’é•T+A €kèð¶Ý©4½¨á†åA�LÛi#Ò4“¸³N'n
https://arxiv.org/src/2608.04003
8vßK0\ÇIf'çGz·4±¿Yd&Ò… »$»Ã—UÞ[†Ëê-ôûÇ®“qo²§{$*N ¼/èÐ+$\5‡€l]µ5þFÇa¾Í‰2w|¤:á*…UÉÚ¹2Úßt*�~ =0²oW-ËB…¹¼H-÷…ñVIæÑ*0+]F~§Q²'Æ{²ZCî¯L¶Åî‘û§½qo0TCùº„…°BŸˆŒW¿·Àéü"Ú[] ÷[³M²}Wá±Ì³ºÌïÂ(ýa™ÅË�Îü�r®Ø)É€0(TãÛ—")A¸ ¯]»Hȳ¡vtá Ûäžþ`OZrÙ´ÎN4ñ¸É¢=ù4Q@OW†}ÎoÊLšd¬ãŽÄFÒŽ ðž;Oô�uã@gAø3x[Ÿ£06ˆ‹ÎÎ uéFR’÷_&K~
https://arxiv.org/src/2006.01331
>'š"J=&_[¿:¾�$¿@0üÿâÕ›Þ^AjˆØj«>¢ÌÄ ‡†˜[Œª¤AÔôQ‘t`}~Q¨?½z(Rx€�‰{>2„¨J¢`ÇÎÒ»Aý ±˜;©ˆ×2?;_ڱ퀂.ì™OˆVþcñøÐ±nÁ{¾cçì){Æž³ïÙ_ÙöoìßÙKöнf?°7ìoì-{Ç.Ø�ìïì'ö3ûû¢c½·&›Í˜Ã\ÆÙœ-Ø’yì7vÍ|°� ±÷,f KYÆnØ-[±5û éÙCödj"¼ç¢êF?&8C%(æE|C$
https://arxiv.org/src/2608.04008
Ï–¢ËºÍîìŽf‚‘¥øõ¢šÒŠÛ‰ÎŠ>�Ž‘ýÝ’7HwJ;^8‹c¡YAÔd�¦ˆøÍ,žÕuK®Ì3x¼' �KeC¾f™]i¸+D±ª Å×°¶ á›r˜ª”½oOƒm˜é£%£³’ûÃò5`ãÝ*7º†1ȺÔrW÷55®Ã¬,Vžàò£u„{TØì�