Evaluating the eco-efficiency of China's industrial sectors: A two-stage network data envelopment analysis
Liuguo Shao and Xiao Yu and Chao Feng
https://www.sciencedirect.com/science/article/pii/S0301479719309004
https://mega.co.nz/#!WPxTTY6R!IUEx7IeuOyqrkVtZ37cIbMmyZC3dVRojj1fx9PPpqW0
https://sci-hub.st/10.1016/j.jenvman.2019.06.099
Multi-Stage Stochastic Optimization and Reinforcement Learning for Forestry Epidemic and COVID-19 Control Planning
S Bushaj
https://search.proquest.com/openview/282d9e7fd45c6519d09b6db803886c7e/1?pq-origsite=gscholar&cbl=18750&diss=y
https://mega.co.nz/#!HXgg3TgT!9zTXUO4kcz48UpXmkdTSREwcZzyPMPvuar5-X06gfcM
https://sci-hub.st/
Psychology and economics: Evidence from the field
Stefano DellaVigna
https://www.aeaweb.org/articles?id=10.1257/jel.47.2.315
https://mega.co.nz/#!CW5QCIrC!3iTG1S6mfZgpJi8-p6fzCQ3RkUke8-L4WAJ6Adep_H0
https://sci-hub.st/10.3386/w13420
Taxonomy and typology of crypto-assets: Approaches of international organizations
M. I. Inozemtsev
https://link.springer.com/chapter/10.1007/978-3-030-53277-2_14
https://mega.co.nz/#!CXZA2JCI!G8167aSND9uK14NhxDGI3j21wl8Sfmn4rLg1cX4uMSE
https://sci-hub.st/10.1007/978-3-030-53277-2_14
An intelligent decision support system for production planning based on machine learning
Yiqiang Lai
https://link.springer.com/article/10.1007/s10845-019-01510-y
https://mega.co.nz/#!yfADmYKD!qvSeeJHtr08ZHzyr10a4ysAF59xSL47Vcy4TZ-GZhos
https://sci-hub.st/10.1007/978-981-16-8052-6_54
Sustainable cyber-physical production systems in big data-driven smart urban economy: a systematic literature review
Mihai Andronie and George L{\u{a}}z{\u{a}}roiu and Mariana Iatagan and Iulian Hurloiu and Irina Dijm{\u{a}}rescu
https://www.mdpi.com/960296
https://mega.co.nz/#!qCoCSQCK!SNSYlIvt0z0905XlN1KAko_Z5nOWLo2frjGBCb0nF3Y
https://sci-hub.st/10.3390/su13020751
The maturity lengthening role of national development banks
Alfredo Schclarek and Jiajun Xu and Jianye Yan
https://www.nse.pku.edu.cn/docs/2020-05/20200513150911553157.pdf
https://mega.co.nz/#!PWx2wZLT!CSwYLZReuRYdtwIZBKTRWoNNUn8e_MRo-YfukQK4ilw
https://sci-hub.st/10.1111/irfi.12391
Asset pricing with cohort-based trading in mbs markets
Nicola Fusari and Wei Li and Haoyang Liu and Zhaogang Song
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3931413
https://mega.co.nz/#!yWZxjJjD!gW300ZF3Z5Ajv6FBaPeVp_1CZnru5BVBBmFrynQ7JIQ
https://sci-hub.st/10.2139/ssrn.3641571
Mixed-frequency approaches to nowcasting GDP: An application to Japan
Kyosuke Chikamatsu and Naohisa Hirakata and Yosuke Kido and Kazuki Otaka
https://www.sciencedirect.com/science/article/pii/S0922142521000049
https://mega.co.nz/#!OWxzlS6D!kebRJNYyymia9wMrItC_2DUyNBmRG0PjVHW301bepnw
https://sci-hub.st/10.1016/j.japwor.2021.101056
On effects of negative resilience on optimal trade execution in stochastic order books
J Ackermann;T Kruse;M Urusov
https://arxiv.org/abs/2112.03789
https://mega.co.nz/#!6aIUnQzK!D24bnVWPnMPg2D-cXkECJzZLw6GNK87GyGdGuJlwc-s
https://sci-hub.st/
Sustainable cyber-physical production systems in big data-driven smart urban economy: a systematic literature review
Mihai Andronie and George L{\u{a}}z{\u{a}}roiu and Mariana Iatagan and Iulian Hurloiu and Irina Dijm{\u{a}}rescu
https://www.mdpi.com/960296
https://mega.co.nz/#!6GQ3nJpa!vxEMSUN2sTeaGQgGyw9t045XPN8s1q_uPuZdENkncFc
https://sci-hub.st/10.3390/su13020751
Changes in workplace heterogeneity and how they widen the gender wage gap
Benjamin Bruns
https://www.aeaweb.org/doi/10.1257/app.20160664
https://mega.co.nz/#!eP5lSZ7T!Y7WZrWjjmwW40gyNDz2DY0dpyuOstUNJvAYCfIO6EDI
https://sci-hub.st/10.1257/app.20160664
ESG shareholder engagement and downside risk
Chao Xi
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2874252
https://mega.co.nz/#!CSAESaxL!pxRdz8KiQLjTOs1aWa1sMlmtMDYd7WGlANc9rIy7vhU
https://sci-hub.st/10.1017/9781108914383.024
Multi-type resources collaborative scheduling in automated warehouse with fuzzy processing time
Baofeng Sun and Xinkang Zhang and Hai Qiao and Gendao Li and Yifei Chen
https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs191827
https://mega.co.nz/#!yLBUWCaS!0WyBgGhfxtBXWwEBbcR73Uz994GG8_oo32TMsz4kW0g
https://sci-hub.st/10.3233/jifs-191827
A lateral resupply blood supply chain network design under uncertainties
Mohammad Arani and Yupo Chan and Xian Liu and Mohsen Momenitabar
https://www.sciencedirect.com/science/article/pii/S0307904X20307083
https://mega.co.nz/#!jSglAA7I!SmP4awyQU5TBd9scDv_Ra9NUxcDHfP-0obtoxhHx47A
https://sci-hub.st/10.1016/j.apm.2020.12.010
Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review
Sara Kuntz and Eva Krieghoff-Henning and Jakob N. Kather and Tanja Jutzi and Julia Höhn and Lennard Kiehl and Achim Hekler and Elizabeth Alwers and Christof von Kalle and Stefan Fröhling and Jochen S. Utikal and Hermann Brenner and Michael Hoffmeister and Titus J. Brinker
https://www.sciencedirect.com/science/article/pii/S0959804921004603
https://mega.co.nz/#!PexkjaoB!ck3rPdxC47lNwGNkd57mvDSWjeJ4DigAzY1je1YBQj8
https://sci-hub.st/10.1016/j.ejca.2021.07.012
Non-linear employment effects of tax policy
Domenico Ferraro and and Giuseppe Fiori and
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3997441
https://mega.co.nz/#!ubABBRqb!6DyRPzUjLr0LKNaOqNviPpctlKmRLi2-DXrCXuWoqXU
https://sci-hub.st/10.17016/ifdp.2021.1333
Geographic cross-sectional fiscal spending multipliers: What have we learned?
Gabriel Chodorow-Reich
https://www.aeaweb.org/doi/10.1257/pol.20160465
https://mega.co.nz/#!mCYRETAC!3UV-XBT9ExdpZBsKd_IgNOWnRT1ZS0kQWgsrVZIdnjE
https://sci-hub.st/10.1257/pol.20160465
Pierre Baldi
https://arxiv.org/abs/2009.01575
https://mega.co.nz/#!nSRTgLCA!pFCeW3qYo0xfaOl80hdNP0KjkJhNs0WgrIVEZ9RlpPQ
https://sci-hub.st/10.1017/9781108955652
Asymptotic Analysis of Long-Term Investment with Two Illiquid and Correlated Assets
Xinfu Chen and Min Dai and Wei Jiang and Cong Qin
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3809057
https://mega.co.nz/#!7fwRTTZQ!RUMhR6HsROPjn6nHtMlZXbNNeDAV9u6CFR8jvUK3HpE
https://sci-hub.st/10.1111/mafi.12360
A machine learning approach to portfolio pricing and risk management for high-dimensional problems
Lucio Fernandez-Arjona and Damir Filipovi{\'{c}}
https://arxiv.org/abs/2004.14149
https://mega.co.nz/#!zfxDCb4R!70tQqhA2KZ4iKug-S-g4of1ZDN3duA7KWzuQZgEum_U
https://sci-hub.st/10.1111/mafi.12358
Portfolio liquidation games with self-exciting order flow
Guanxing Fu and Ulrich Horst and Xiaonyu Xia
https://arxiv.org/abs/2011.05589
https://mega.co.nz/#!HSRnhbrY!IuSMCquB5oBL6RWmbLzVIyr_OaIka0h_n-PwN8dYcxo
https://sci-hub.st/10.1111/mafi.12359
The American put with finite-time maturity and stochastic interest rate
Cheng Cai and Tiziano De Angelis and Jan Palczewski
https://arxiv.org/abs/2104.08502
https://mega.co.nz/#!bKAWAR6a!LAW1OZyYUkFGiIiel59vsH9iugbzG5kwUhr7P7mWrrk
https://sci-hub.st/10.1111/mafi.12361
The American put with finite-time maturity and stochastic interest rate
Cheng Cai and Tiziano De Angelis and Jan Palczewski
https://arxiv.org/abs/2104.08502
https://mega.co.nz/#!Oa5iCCIB!Qbrq0zgX-eIgtW-bTrHUM1j9_SLJZP_d0NfSBJaRraI
https://sci-hub.st/10.1111/mafi.12361
Portfolio liquidation games with self-exciting order flow
Guanxing Fu and Ulrich Horst and Xiaonyu Xia
https://arxiv.org/abs/2011.05589
https://mega.co.nz/#!qeoBWTyR!yzhFjgUQBOwOVNVTIwzMOE8iFX4Yuez-UW-j2QFXvxA
https://sci-hub.st/10.1111/mafi.12359
Target setting in tournaments: theory and evidence from China
Xing Li and Chong Liu and Xi Weng and Li-An Zhou
https://academic.oup.com/ej/article-abstract/129/623/2888/5492257
https://mega.co.nz/#!ebB3VTya!cy6OHwde_tgYoeuFqrmZMF3zFLseM-V1OmNT8tym95U
https://sci-hub.st/10.1093/ej/uez018
The two-step average tree value for graph and hypergraph games
Liying Kang and Anna Khmelnitskaya and Erfang Shan and Dolf Talman and Guang Zhang
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3647009
https://mega.co.nz/#!iLYx1RZQ!T1HYoZBj6PmA_yC08gkQHK7sF8QUXQZeYewwmE8NL8g
https://sci-hub.st/10.1007/s10479-022-04966-z
Employment uncertainty a year after the irruption of the covid-19 pandemic
Petar Sori{\'{c}} and Oscar Claveria
http://diposit.ub.edu/dspace/handle/2445/178898
https://mega.co.nz/#!mHoF1DgI!XRzQAFzCD5Ewr6LwdzgrgeaZHuwhsyYFHZRg-bGH_Us
https://sci-hub.st/10.2139/ssrn.3853110
A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise
Fabian C. Weigend and David C. Clarke and Oliver Obst and Jason Siegler
https://arxiv.org/abs/2108.04510
https://mega.co.nz/#!bapVhRgD!ks1I-uk4BRnRvAFaA3r_5_jm4V4TLJuNG3QznlV5G-A
https://sci-hub.st/10.1007/s10479-022-04947-2
Where’s Tobin? Protecting Intergenerational Equity for Endowments: A New Benchmarking Approach
jpm.pm-research.com
https://jpm.pm-research.com/content/early/2022/09/13/jpm.2022.1.424
Anomalies: Parimutuel betting markets: Racetracks and lotteries
William T. Ziemba
https://www.aeaweb.org/articles?id=10.1257/jep.2.2.161
https://mega.co.nz/#!uOBDzSbQ!6R28juMikn86hu18LtdhsLLTMOZVWMMARkChIoQYocg
https://sci-hub.st/10.2139/ssrn.3865785
Neural network approximation for superhedging prices
Francesca Biagini and Lukas Gonon and Thomas Reitsam
https://arxiv.org/abs/2107.14113
https://mega.co.nz/#!vDgiUSCT!O98hOAeEaNmB1LuajQ6rdZ7drRlcqBa9-N6nP-Bcyp4
https://sci-hub.st/10.1111/mafi.12363
Portfolio selection with probabilistic utility
Robert Marschinski and Pietro Rossi and Massimo Tavoni and Flavio Cocco
https://link.springer.com/article/10.1007/s10479-006-0117-5
https://mega.co.nz/#!TGhQiRzJ!RMO5RBUPa5unwtGAHq4GuJNpCNU-jDkxRhPDbstWpqs
https://sci-hub.st/10.1007/s10479-006-0117-5
Is It Time for Popcorn? Daily Box Office Earnings and Aggregate Stock Returns
Seda Oz and Steve Fortin
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3026910
https://mega.co.nz/#!DGBx0SIB!lVeJ_wqDeEPE352lwEYo-8skeQvvN1iXUQSMgiRohxA
https://sci-hub.st/10.1111/fima.12408
Evaluating specification tests in the context of value-added estimation
Cassandra M. Guarino and Mark D. Reckase and Brian Stacy and Jeffrey M. Wooldridge
https://www.tandfonline.com/doi/abs/10.1080/19345747.2014.981905
https://mega.co.nz/#!Xbh0wbQS!azkepZj11-aL-PF9PZbgssP7MRGBAE803loj9qSaBa4
https://sci-hub.st/10.2139/ssrn.2403111
Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations
Koen Jochmans and Vincenzo Verardi
http://publications.ut-capitole.fr/44014/
https://mega.co.nz/#!LKYi0aKT!QEmNcO4yiHp4nDmCa25NyvcK60J_z-EAg0ZzD1WDs1o
https://sci-hub.st/10.1002/jae.2932
Climate change news risk and corporate bond returns
Thanh D. Huynh and Ying Xia
https://www.cambridge.org/core/journals/journal-of-financial-and-quantitative-analysis/article/climate-change-news-risk-and-corporate-bond-returns/07181D74EB29D801C91D76DFE46EF609
https://mega.co.nz/#!bDQkQZpb!LGd7dRUcfXXnQXDCmGR859GMoWP2-0hlbwPT1UAWMks
https://sci-hub.st/10.1017/s0022109020000757
Adaptation and risk management
RN Jones;BL Preston
https://wires.onlinelibrary.wiley.com/doi/abs/10.1002/wcc.97
https://mega.co.nz/#!nSgFjIwA!Mej9e_XNOEj2XfV2ZepcEaylCxcye20TyqloYccue_c
https://sci-hub.st/
Deep learning in finance: Prediction of stock returns with long short-term memory networks
Miquel N. Alonso and Gilberto Batres-Estrada and Aymeric Moulin
https://books.google.com/books?hl=en&lr=&id=5et1DwAAQBAJ&oi=fnd&pg=PA251&dq=Deep+Learning+Meets+Statistical+Arbitrage:+An+Application+of+Long+Short-Term+Memory+Networks+to+Algorithmic+Trading&ots=0fDZ-0eaOH&sig=-PQ133mmg9mcggSO4sdWtCKIwqk
https://mega.co.nz/#!WbBQVK4Z!Rmw8aWtpoCKB2oW3hQxxz1v-15fKbbMpsD8_uQcDI3M
https://sci-hub.st/10.1002/9781119522225.ch13
Financial development and innovation: Cross-country evidence
Po-Hsuan Hsu and Xuan Tian and Yan Xu
https://www.sciencedirect.com/science/article/pii/S0304405X13003024
https://mega.co.nz/#!jbglRRLA!kreDenrfREANAB1gK-wTCfVvgaZaNXbIt5GLPkpFi8Q
https://sci-hub.st/10.1016/j.jfineco.2013.12.002
Short-time implied volatility of additive normal tempered stable processes
Michele Azzone and Roberto Baviera
https://arxiv.org/abs/2108.02447
https://mega.co.nz/#!PXIAjAaQ!Co19cgE58zv5mAtL75m-TQwjObPXbZp3dnGLkYSjk-I
https://sci-hub.st/10.1007/s10479-022-04894-y
SC Laude
http://filo.unt.edu.ar/wp-content/uploads/2019/05/03-CORRIENTES-HISTORIOGRAFICAS-NANNI-MOREA-2019_cv-nanni.pdf
https://mega.co.nz/#!ieYRXZbI!o2mGAOaWCHHFtGTys7_Xtv63FJIz7FbPUw4sthd-_mM
https://sci-hub.st/
The short- and medium-term distributional effects of the German minimum wage reform
SpringerLink
https://link.springer.com/article/10.1007/s00181-022-02288-4
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data
Qinkai Chen and Christian-Yann Robert
https://arxiv.org/abs/2107.10941
https://mega.co.nz/#!POIF1b7I!afT7pp8C4YhFaWtCcYmBKgrWn0Clph4xk4H-yU0QlPw
https://sci-hub.st/10.3905/jfds.2022.1.104
Deep learning for mortgage risk
Justin Sirignano and Apaar Sadhwani and Kay Giesecke
https://arxiv.org/abs/1607.02470
https://mega.co.nz/#!TXBjkJ5b!m1tFug7GrF_y7oj8YR2tdxKeyuoc_KAifZSgGvx72L4
https://sci-hub.st/10.2139/ssrn.2799443
A machine learning methodology for reliability evaluation of complex chemical production systems
Fanrui Zhao and Jinkui Wu and Yuanpei Zhao and Xu Ji and Li Zhou and Zhongping Sun
https://pubs.rsc.org/en/content/articlehtml/2020/ra/c9ra09654j
https://mega.co.nz/#!2Thy2ABK!_u95uAsaV6M_yAaGTseeUl9B67dDMxwNULn25AgceHM
https://sci-hub.st/10.1039/c9ra09654j
Bi-objective optimization problems with two decision makers: refining Pareto-optimal front for equilibrium solution
Mohammadali S. Monfared and Sayyed Ehsan Monabbati and Mahsa Mahdipour Azar
https://link.springer.com/article/10.1007/s00291-020-00587-9
https://mega.co.nz/#!aKJBXAwR!IHndjPq3lw_UT0GLxVoZVBCvBtBRwxiKSRgCY1RdQ-I
https://sci-hub.st/10.1007/s00291-020-00587-9
Common ownership does not have anti-competitive effects in the airline industry
PATRICK DENNIS and KRISTOPHER GERARDI and CAROLA SCHENONE
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3063465
https://mega.co.nz/#!jCpUzQhT!XZgnpOhKi3J3_VbjUF9SkWUl3oN6SCPRzMwGouiSOrc
https://sci-hub.st/10.1111/jofi.13176
Cooperation and decision making in a two-sided market motivated by the externality of a third-party social media platform
Xiaoxi Zhu and Changhui Yang and Kai Liu and Rui Zhang and Qingquan Jiang
https://link.springer.com/article/10.1007/s10479-021-04109-w
https://mega.co.nz/#!DTZxHKpB!031tW0ZKmcjwQIsSQCS7Si8cMNIe26E9Cf6vM_s07qQ
https://sci-hub.st/10.1007/s10479-021-04109-w
Understanding trends and drivers of urban poverty in American cities
Francesco Andreoli and Arnaud Mertens and Mauro Mussini and Vincenzo Prete
https://link.springer.com/article/10.1007/s00181-021-02174-5
https://mega.co.nz/#!zSJSyDDB!nlYsdCNWa48Sg_FiMx9uq2Wv36-YKRRGms2YvzVgDDI
https://sci-hub.st/10.1007/s00181-021-02174-5