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List, John A.; Momeni, Fatemeh
doi: 10.1287/mnsc.2019.3540pmid: N/A
This paper uses a natural field experiment to connect corporate social responsibility (CSR) to an important but often neglected behavior: employee misconduct and shirking. Through employing more than 1,500 workers, we find that our use of CSR increases employee misbehavior—24% more employees act detrimentally toward our firm by shirking on their primary job duties when we introduce CSR. Observed data patterns across the treatments are consonant with a model of “moral licensing,” whereby the “doing good” nature of CSR induces workers to misbehave on another dimension that is harmful to the firm.This paper was accepted by Yan Chen, decision analysis.
Glosten, Lawrence; Nallareddy, Suresh; Zou, Yuan
doi: 10.1287/mnsc.2019.3427pmid: N/A
This paper investigates the effect of exchange-traded funds’ (ETFs’) activity on the short-run informational efficiency of their underlying securities. We find that ETF activity increases short-run informational efficiency for stocks with weak information environments. The increase in informational efficiency results from the timely incorporation of systematic earnings information. In contrast, we find no such effect for stocks with stronger information environments. ETF activity increases return comovement, and this increase is partly attributable to the timely incorporation of systematic earnings information. Further, ETF activity is associated with an attenuation of postearnings-announcement drift and an increase in active share lending.This paper was accepted by Suraj Srinivasan, accounting.
Cziraki, Peter; Mondria, Jordi; Wu, Thomas
doi: 10.1287/mnsc.2019.3460pmid: N/A
This paper constructs a new measure of attention allocation by local investors relative to nonlocals using aggregate search volume from Google. We first present a conceptual framework in which local investors optimally choose to focus their attention on local stocks when they receive private news, leading to an asymmetric allocation of attention between local and nonlocal investors. Consistent with the main prediction of this framework, we find that firms attracting abnormally high asymmetric attention from local relative to nonlocal investors earn higher returns. A portfolio that goes long in stocks with high asymmetric attention and short in stocks with low asymmetric attention has an alpha of 32 basis points per month. The results are stronger for stocks with a greater degree of information friction. The new measure of asymmetric attention allows one to infer the arrival of unobservable private information by observing investors’ attention allocation behavior.This paper was accepted by Karl Diether, finance.
Haugh, Martin B.; Singal, Raghav
doi: 10.1287/mnsc.2019.3528pmid: N/A
Daily fantasy sports (DFS) is a multibillion-dollar industry with millions of annual users and widespread appeal among sports fans across a broad range of popular sports. Building on recent work, we provide a coherent framework for constructing DFS portfolios where we explicitly model the behavior of other DFS players. We formulate an optimization problem that accurately describes the DFS problem for a risk-neutral decision maker in both double-up and top-heavy payoff settings. Our formulation maximizes the expected reward subject to feasibility constraints, and we relate this formulation to mean-variance optimization and the outperformance of stochastic benchmarks. Using this connection, we show how the problem can be reduced to the problem of solving a series of binary quadratic programs. We also propose an algorithm for solving the problem where the decision maker can submit multiple entries to the DFS contest. This algorithm is motivated by submodularity properties of the objective function and by some new results on parimutuel betting. One of the contributions of our work is the introduction of a Dirichlet-multinomial data-generating process for modeling opponents’ team selections, and we estimate the parameters of this model via Dirichlet regressions. A further benefit to modeling opponents’ team selections is that it enables us to estimate the value, in a DFS setting, of both insider trading and collusion. We demonstrate the value of our framework by applying it to DFS contests during the 2017 National Football League season.This paper was accepted by Baris Ata, stochastic models and simulation.
Webb, Ryan; Glimcher, Paul W.; Louie, Kenway
doi: 10.1287/mnsc.2019.3536pmid: N/A
Consumer valuations are shaped by choice sets, exemplified by patterns of substitution between alternatives as choice sets are varied. Building on recent neuroeconomic evidence that valuations are transformed during the choice process, we incorporate the canonical divisive normalization computation into a discrete choice model and characterize how choice behaviour depends on both size and composition of the choice set. We then examine evidence for such behaviour from two choice experiments that vary the size and composition of the choice set. We find that divisive normalization more accurately captures observed behaviour than alternative models, including an example range normalization model. These results are robust across experimental paradigms. Finally, we demonstrate that Divisive Normalization implements an efficient means for the brain to represent valuations given neurobiological constraints, yielding the fewest choice errors possible given those constraints.This paper was accepted by Elke Weber, judgment and decision making.
Ho, Emily H.; Hagmann, David; Loewenstein, George
doi: 10.1287/mnsc.2019.3543pmid: N/A
Advances in medical testing and widespread access to the internet have made it easier than ever to obtain information. Yet, when it comes to some of the most important decisions in life, people often choose to remain ignorant for a variety of psychological and economic reasons. We design and validate an information preferences scale to measure an individual’s desire to obtain or avoid information that may be unpleasant but could improve future decisions. The scale measures information preferences in three domains that are psychologically and materially consequential: consumer finance, personal characteristics, and health. In three studies incorporating responses from over 2,300 individuals, we present tests of the scale’s reliability and validity. We show that the scale predicts a real decision to obtain (or avoid) information in each of the domains as well as decisions from out-of-sample, unrelated domains. Across settings, many respondents prefer to remain in a state of active ignorance even when information is freely available. Moreover, we find that information preferences are a stable trait but that an individual’s preference for information can differ across domains.This paper was accepted by Yuval Rottenstreich, judgment and decision making.
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