Asli Eksi

ORCID: 0000-0002-2523-4132
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About
Contact & Profiles
Research Areas
  • Financial Markets and Investment Strategies
  • Housing Market and Economics
  • Financial Literacy, Pension, Retirement Analysis
  • Banking stability, regulation, efficiency
  • Decision-Making and Behavioral Economics
  • Market Dynamics and Volatility
  • Forecasting Techniques and Applications
  • Meta-analysis and systematic reviews
  • Insurance and Financial Risk Management
  • scientometrics and bibliometrics research
  • Data Analysis with R
  • Sports Analytics and Performance
  • Monetary Policy and Economic Impact
  • Complex Systems and Time Series Analysis

Salisbury University
2018-2024

Albert J. Menkveld Anna Dreber Felix Holzmeister Jürgen Huber Magnus Johannesson and 95 more Michael Kirchler Sebastian Neusüss Michael Razen Utz Weitzel DAVID ABAD‐DÍAZ Menachem Abudy Tobias Adrian Yacine Aït‐Sahalia Olivier Akmansoy Jamie Alcock Vitali Alexeev Arash Aloosh Livia Amato Diego Amaya James J. Angel ALEJANDRO T. AVETIKIAN Amadeus Bach Edwin Baidoo Gaetan Bakalli Bao Li Andrea Barbon Oksana Bashchenko Parampreet Christopher Bindra Geir Høidal Bjønnes Jeffrey R. Black Bernard S. Black Dimitar Bogoev SANTIAGO BOHORQUEZ CORREA Oleg Bondarenko Charles S. Bos Ciril Bosch-Rosa Elie Bouri Christian T. Brownlees Anna Calamia Viet Nga Cao Gunther Capelle‐Blancard LAURA M. CAPERA ROMERO Massimiliano Caporin Allen Carrion Tolga Caskurlu Bidisha Chakrabarty Jian Chen Mikhail Chernov William M. Cheung Ludwig B. Chincarini Tarun Chordia SHEUNG‐CHI CHOW Benjamin Clapham Jean-Édouard Colliard Carole Comerton‐Forde Edward T. Curran Thông Dao Wale Dare Ryan J. Davies Riccardo De Blasis GIANLUCA F. DE NARD Fany Declerck Oleg Deev Hans Degryse Solomon Y Deku Christophe Desagre Mathijs A. van Dijk Chukwuma Dim Thomas Dimpfl Yun Jiang Dong P. Drummond Tom Dudda Teodor Duevski Ariadna Dumitrescu Teodor Dyakov Anne Haubo Dyhrberg Michał Dzieliński Asli Eksi Izidin El Kalak Saskia ter Ellen Nicolas Eugster Martin D.D. Evans Michael Farrell ESTER FELEZ‐VINAS Gerardo Ferrara El Mehdi Ferrouhi Andrea Flori Jonathan Fluharty-Jaidee Sean Foley Kingsley Y. L. Fong Thierry Foucault Tatiana Franus Francesco A. Franzoni Bart Frijns Michael Frömmel SERVANNA M. FU Sascha Füllbrunn Baoqing Gan Ge Gao Thomas Gehrig

ABSTRACT In statistics, samples are drawn from a population in data‐generating process (DGP). Standard errors measure the uncertainty estimates of parameters. science, evidence is generated to test hypotheses an evidence‐generating (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard (NSEs). study NSEs by letting 164 teams same on data. turn out be sizable, but smaller for more reproducible or higher rated research. Adding peer‐review stages reduces NSEs....

10.1111/jofi.13337 article EN cc-by The Journal of Finance 2024-04-17
Albert J. Menkveld Anna Dreber Felix Holzmeister Jürgen Huber Magnus Johannesson and 95 more Michael Kirchler Michael Razen Utz Weitzel David Abad Menachem Abudy Tobias Adrian Yacine Aït‐Sahalia Olivier Akmansoy Jamie Alcock Vitali Alexeev Arash Aloosh Livia Amato Diego Amaya James J. Angel Amadeus Bach Edwin Baidoo Gaetan Bakalli Andrea Barbon Oksana Bashchenko Parampreet Christopher Bindra Geir Høidal Bjønnes Jeff Black Bernard S. Black Santiago Bohorquez Oleg Bondarenko Charles S. Bos Ciril Bosch-Rosa Elie Bouri Christian T. Brownlees Anna Calamia Viet Nga Cao Gunther Capelle‐Blancard Laura Capera Massimiliano Caporin Allen Carrion Tolga Caskurlu Bidisha Chakrabarty Mikhail Chernov William M. Cheung Ludwig B. Chincarini Tarun Chordia Sheung Chi Chow Benjamin Clapham Jean-Édouard Colliard Carole Comerton‐Forde Edward T. Curran Thông Dao Wale Dare Ryan J. Davies Riccardo De Blasis Gianluca De Nard Fany Declerck Oleg Deev Hans Degryse Solomon Y Deku Christophe Desagre Mathijs A. van Dijk Chukwuma Dim Thomas Dimpfl Yun Jiang Dong Philip A. Drummond Tom Dudda Ariadna Dumitrescu Teodor Dyakov Anne Haubo Dyhrberg Michał Dzieliński Asli Eksi Izidin El Kalak Saskia ter Ellen Nicolas Eugster Martin D.D. Evans Michael Farrell Ester Félez‐Viñas Gerardo Ferrara El Mehdi Ferrouhi Andrea Flori Jonathan Fluharty-Jaidee Sean Foley Kingsley Y. L. Fong Thierry Foucault Tatiana Franus Francesco A. Franzoni Bart Frijns Michael Frömmel SERVANNA M. FU Sascha Füllbrunn Baoqing Gan Thomas Gehrig Dirk Gerritsen Javier Gil‐Bazo Lawrence R. Glosten Thomas M. Gomez Arseny Gorbenko Ufuk Güçbilmez Joachim Grammig

In statistics, samples are drawn from a population in data-generating process (DGP). Standard errors measure the uncertainty sample estimates of parameters. science, evidence is generated to test hypotheses an evidence-generating (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams six on same sample. find sizeable, par with standard Their size (i) co-varies only weakly team merits, reproducibility, or peer rating, (ii)...

10.2139/ssrn.3961574 article EN SSRN Electronic Journal 2021-01-01

Hedged mutual funds flourished following the 2007–2009 financial crisis. They became particularly popular with advisors because of their alleged downside protection. Did these deliver what they promised? We examine performance a focus on post-2009 period. While generated positive alphas before crisis, we find that this abnormal vanishes in period as strategies increasingly crowded due to above popularity. show flows hedged are negatively related investor sentiment, implying investors use...

10.1080/0015198x.2022.2065870 article EN Financial Analysts Journal 2022-06-16

In this paper, we use the well-documented mutual fund flow-performance relationship to infer information about investors' preferences. We show that applying preference parameter values from experimental settings market data can significantly understate role of prospect theory in explaining investor behavior. find evidence investors exhibit loss aversion and differential attitudes toward risk over losses (risk-seeking) gains (risk-averse) but no significant probability weighting when...

10.1080/15427560.2024.2348558 article EN Journal of Behavioral Finance 2024-05-14

There is little empirical evidence regarding downside risk in asset pricing, due part to problems inherent estimating risk. We argue that Berk and van Binsbergen (2016)'s approach testing pricing models using the relation between investor flows risk-adjusted fund returns well suited for examining merits of extend analysis (2016) Barber et al. by showing investors care more about market than unconditional when choosing mutual funds. Our study provides novel insights investors' preferences....

10.2139/ssrn.3302876 article EN SSRN Electronic Journal 2018-01-01

In this paper, we use the well-documented mutual fund flow-performance relationship to infer investors' preferences under global risk aversion (GRA) and reference-dependent (RDP). Our methodology yields preference parameter values that maximize explanatory power of expected utility returns on flows two frameworks. We provide evidence RDP outperform GRA framework in explaining flows. results indicate investors exhibit loss have differential attitudes toward over losses (risk-seeking) gains...

10.2139/ssrn.3434779 article EN SSRN Electronic Journal 2019-01-01

When stock prices deviate from their fundamental values due to excess demand, investors anticipate reversals and trade in the options market exploit temporary misvaluation. This leads options’ predictability of returns beyond well-known informed trading channel. Using S&P 500 index inclusions, we examine how option predict reversal a non-fundamental demand shock price. We find that implied volatility skew stocks added becomes steeper months following inclusion. effect is not caused by an...

10.2139/ssrn.4192142 article EN SSRN Electronic Journal 2022-01-01

Hedged mutual funds proliferated following the 2007-2009 financial crisis. They became particularly popular with advisors because of their alleged downside protection. Did these deliver what they promised? We examine performance a focus on post-2009 period. While generated positive alphas before crisis, we find that this abnormal vanishes in period as strategies become increasingly crowded due to above popularity. show flows hedged are negatively related investor sentiment, implying...

10.2139/ssrn.3843446 article EN SSRN Electronic Journal 2021-01-01
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