Sectoral Phillips curves and the aggregate Phillips curve

Sector-level Phillips curves are estimated in French data. There is considerable heterogeneity across sectors, with vastly different estimates of the backward looking component of inflation and the duration of nominal rigidities. A multi-sector model of inflation dynamics is calibrated on the basis of these sectoral estimates. Aggregate inflation, simulated on the basis of heterogeneous sectors, displays comparable dynamics to actual data. A comparison is drawn between the policy trade-offs implied by a Phillips curve based on macroeconomic estimates vs. one based on a model with heterogeneous sectors. The difference is sizeable.     

Biased Managers as Strategic Commitment

This paper analyzes a model in which owners of competing firms can hire biased managers for strategic reasons. We show that independent of the mode of competition, that is, price or quantities, owners hire aggressive managers. This result contrasts with the classic literature on strategic delegation. Copyright © 2013 John Wiley & Sons, Ltd.     

Option pricing with discrete time jump processes

In this paper we propose new option pricing models based on class of models with jumps contained in the Lévy-type based models (NIG-Lévy, Schoutens, 2003, Merton-jump, Merton, 1976 and Duan based model, Duan et al., 2007). By combining these different classes of models with several volatility dynamics of the GARCH type, we aim at taking into account the dynamics of financial returns in a realistic way. The associated risk neutral dynamics of the time series models is obtained through two different specifications for the pricing kernel: we provide a characterization of the change in the probability measure using the Esscher transform and the Minimal Entropy Martingale Measure. We finally assess empirically the performance of this modelling approach, using a dataset of European options based on the S&P 500 and on the CAC 40 indices. Our results show that models involving jumps and a time varying volatility provide realistic pricing and hedging results for options with different kinds of time to maturities and moneyness. These results are supportive of the idea that a realistic time series model can provide realistic option prices making the approach developed here interesting to price options when option markets are illiquid or when such markets simply do not exist.     

Genetics,Homeownership, and Home Location Choice

We find that a significant proportion of the cross-sectional variation in the choice to own or rent is attributable to a genetic factor, while parental influence is not found to affect this choice. We also find evidence of gene-environment interactions: The environment moderates genetic effects on homeownership in that growing up in a wealthier family results in a stronger expression of genetic predispositions, while idiosyncratic life experiences appear to explain a larger portion of the variation in homeownership among those who grew up in a less wealthy family environment. Furthermore, we find that home location choices, for example, a familiar home location close to one’s birthplace and an urban versus a rural home location, are explained by both genetic factors and parental influence. Because we control for an extensive set of individual characteristics analyzed in existing research, an interpretation of our evidence is that an individual’s preferences with respect to homeownership and home location are partly genetic. The findings contribute to a deeper understanding of the factors that explain individual behavior with respect to the housing market, and add to an expanding literature on the biological and genetic factors that influence individuals’ economic and financial decisions.     

Twenty years of jumps in commodity markets

In this article, we provide statistical evidence around jumps affecting commodity returns. Using nearly 20 years of daily data, we use Laurent, Lecourt, and Palm's (2011) methodology to jump extraction, and discuss various aspects of the estimated jump activity. On average across various commodity markets, we find a high number of days for which returns exhibit the presence of jumps, consistently with the intuition that commodities are affected by large price fluctuations. We emphasize that the post-jump average return depends on the commodity sector considered (e.g. agriculture, energy, or metals). We also show evidence of a jump-to-volatility channel for commodities (similar to the effect usually found for equities). Finally, we diagnose around 40 dates during which commodity indices, stocks, bonds and currencies `co-jump’, revealing a tail dependence between standard and alternative assets.     

The Arctic Environmental Responsibility Index: A method to rank heterogenous extractive industry companies for governance purposes

The Arctic Environmental Responsibility Index (AERI) covers 120 oil, gas, and mining companies involved in resource extraction north of the Arctic Circle in Alaska, Canada, Greenland, Finland, Norway, Russia, and Sweden. It is based on an international expert perception survey among 173 members of the International Panel on Arctic Environmental Responsibility (IPAER), whose input is processed using segmented string relative ranking (SSRR) methodology. Equinor, Total, Aker BP, ConocoPhillips, and BP are seen as the most environmentally responsible companies, whereas Dalmorneftegeophysica, Zarubejneft, ERIELL, First Ore-Mining Company, and Stroygaz Consulting are seen as the least environmentally responsible. Companies operating in Alaska have the highest average rank, whereas those operating in Russia have the lowest average rank. Larger companies tend to rank higher than smaller companies, state-controlled companies rank higher than privately controlled companies, and oil and gas companies higher than mining companies. The creation of AERI demonstrates that SSRR is a low-cost way to overcome the challenge of indexing environmental performance and contributing to environmental governance across disparate industrial sectors and states with divergent environmental standards and legal and political systems.     

Charitable behavior in China under the Charity Law: Evaluation of charity advertisements involving in-groups and out-groups

This paper examines Chinese charitable behavior in 2016—the year the Charity Law was enforced—with a focus on the evaluation of charity advertisements. The 2016 Charity Law is the first law in China to regulate charitable organizations and their activities. It also provides various tax incentives for charitable organizations and donors. A study was conducted to understand Chinese charitable behavior in terms of in-groups and out-groups. Results indicate that the Chinese more positively evaluate charity advertisements targeting in-groups than those targeting out-groups. This relationship between advertisement type and advertisement attitude is mediated by ethnocentrism. Furthermore, we found that familiarity with the Charity Law moderates the effect of ethnocentrism on advertisement attitude.     

Should I stay or should I go? A latent threshold approach to large‐scale mixture innovation models

We propose a straightforward algorithm to estimate large Bayesian time‐varying parameter vector autoregressions with mixture innovation components for each coefficient in the system. The computational burden becomes manageable by approximating the mixture indicators driving the time‐variation in the coefficients with a latent threshold process that depends on the absolute size of the shocks. Two applications illustrate the merits of our approach. First, we forecast the US term structure of interest rates and demonstrate forecast gains relative to benchmark models. Second, we apply our approach to US macroeconomic data and find significant evidence for time‐varying effects of a monetary policy tightening.     

What,when, and who: Manager involvement in predicting employee resistance to acquisition integration

Applying sensemaking research to acquisition integration, we outline factors that influence employee resistance to acquisitions. While integration is widely viewed as important to acquisition outcomes, there is limited systematic study of how employees react to the integration process. Using survey data from Chinese acquirers and applying partial least squares structural equation modeling, we examine what changes with human and task integration with the speed of when changes are made to explore relationships with employee resistance. Consistent with a temporal perspective of acquisition processes and sensemaking we find slower task integration may mitigate employee resistance to acquisition integration. However, employee resistance to the speed that changes are made likely varies for who is involved, suggesting different roles for top and middle managers. Specifically, middle management involvement with slow human integration and top management involvement with fast task integration reduces employee resistance following an acquisition.