Social networks in the global banking sector

We show that banks with shared social connections partner more often in the global syndicated loan market and that central banks in the network play dominant roles in various interbank transactions, indicating that social connections facilitate business connections. However, more centralized banks in the network also contribute significantly to the global systemic risk. Moreover, we find the soft information generated by social networks is particularly valuable when potential partners operate under different accounting and regulatory standards. Finally, we show that the recent banking crisis significantly limited the positive soft information effects of social networks in the global banking system.     

Short term real earnings management prior to stock repurchases

This study examines whether firms engage in income-decreasing real earnings management before open market stock repurchases to reduce the cost of stock buybacks. In the short run, managers have the ability to underproduce inventory and increase discretionary expenditures, thus decreasing current period earnings. We find that managers engage in both of these activities before repurchasing their firms’ shares, especially the latter. Also, companies increase their discretionary spending before making repurchases to a greater extent following the passage of the Sarbanes–Oxley Act of 2002 as well as when they are financially healthy and have high marginal tax rates. Finally, we document that firms with the most income-decreasing real earnings management experience the largest positive abnormal returns during the subsequent period. Our findings highlight the importance of considering firms’ use of real operating decisions, as opposed to just opportunistic disclosure practices, around significant corporate events, such as the repurchase of their own stock.     

Classical meets modern in the IDEA protocol for structured expert judgement

Expert judgement is pervasive in all forms of risk analysis, yet the development of tools to deal with such judgements in a repeatable and transparent fashion is relatively recent. This work outlines new findings related to an approach to expert elicitation termed the IDEA protocol. IDEA combines psychologically robust interactions among experts with mathematical aggregation of individual estimates. In particular, this research explores whether communication among experts adversely effects the reliability of group estimates. Using data from estimates of the outcomes of geopolitical events, we find that loss of independence is relatively modest and it is compensated by improvements in group accuracy.     

Learning minimum variance discrete hedging directly from the market

Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging.     

Cointegrated TFP processes and international business cycles

A puzzle in international macroeconomics is that real exchange rates are highly volatile. Standard international real business cycle (IRBC) models cannot reproduce this fact. This paper provides evidence that TFP processes for the U.S. and the “rest of the world” are characterized by a vector error correction model (VECM) and that adding cointegrated technology shocks to the standard IRBC model helps to explain the observed high real exchange rate volatility. Also, the model can explain the observed increase in real exchange rate volatility with respect to output in the last 20 years by changes in the parameters of the VECM.     

Using clustering ensemble to identify banking business models

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.     

Choosing for others

Experiments conducted in the US and France were used to study how individuals make trade-offs between health and taste for themselves and others. When someone receives a choice made for them that differs from their preference, they experience a welfare loss; at least in the short-term. We measure the empirical magnitude of this loss, and suggest it play a role in assessing the desirability of paternalistic policies motivated by behavioural economics. We show that the welfare loss changes with the provision of new information and the impact of this information differs for the two countries.     

Grundsteuerreform in Deutschland: eine unendliche Geschichte?

For many years property tax in its current form has been exhibiting increasing problems. There are three reform models currently being discussed that differ in their respective tax bases using either property values or areas, or both. They create different individual tax burdens and amounts of tax revenue in each state compared to the current property tax amount which alters local tax capacity within the fiscal equalisation system among the 16 states. The calculations on regional local tax revenue prove that the value-based models which promote greater equity are being neglected by the financially strong states. This is because they would be forced to provide higher transfer payments to the financially weaker states.     

Informal Traders and the Battlegrounds of Revanchism in Cusco,Peru

Informal trading in the global South, particularly in Latin America, is the subject of revanchist urban policy and yet few studies have examined the longer‐term impacts of such intolerant policies on traders. This article explores the evolution and impacts of revanchist policies directed at informal traders in the Andean city of Cusco. It makes two key contributions. First, it documents a shift from early revanchist policies to a post‐revanchist era where policies have become more tolerant of informal traders. However, contemporary policies fall short of a supportive environment for informal trading, hence the authors recommend changes that will ensure informal traders can access the city's streets and become an accepted part of the urban fabric. Second, given the lack of theoretical attention given to the impacts of revanchism, a battlegrounds framework is developed, consisting of spatial, political, economic and socio‐cultural battlegrounds. This framework provides a comprehensive insight into the complex set of interactions that exist between informal traders and the state. It is hoped that the framework will provide a tool for further research into the highly damaging impacts of revanchism across the globe.     

Marrying personality and job resources and their effect on engagement via critical psychological states

This study examined the process by which individuals become engaged with their jobs by integrating seminal engagement theory. More specifically, we suggest that an individual factor (i.e. autotelic personality) and two contextual factors (i.e. feedback environment, job autonomy) interact to predict work engagement through three critical psychological states – namely availability, meaningfulness, and safety. This moderated mediation framework was tested using a cross section of the US population (n = 284); data were collected at two points in time with 3 months in between. Availability and meaningfulness mediated the relationship between autotelic personality and work engagement. Autotelic personality’s indirect effect on work engagement through meaningfulness and safety was conditional such that the nature of feedback environment’s effect depended on job autonomy level. Theory and practice implications are discussed.