Loss aversion is one of the most widely used concepts in behavioral economics. We conduct a large-scale interdisciplinary meta-analysis, to systematically accumulate knowledge from numerous empirical estimates of the loss aversion coefficient reported during the past couple of decades. We...

Basel III regulation intent is to increase the resiliency of banks through effective risk management practices that can reduce significant idiosyncratic operational losses. A systemic risk event that leads to significant losses in a bank holding company (BHC) can expose them to become insolvent...

Anti-tax loss trafficking rules disallow the use of loss carryforwards after a change in ownership or activity (such as significant changes in turnover, employment, or the product portfolio). This restriction could threaten accumulated loss carryforwards of start-ups. Accounting for the...

In practice, there is a massive time lag between data loss and its cause identification. The existing techniques perform it comprehensively, but they consume too much time, so there is a need for fast and reliable methods. The article’s purpose is to develop a rapid methodology to assess the...

Loss aversion is one of the most widely used concepts in behavioral economics. We conduct a large-scale interdisciplinary meta-analysis, to systematically accumulate knowledge from numerous empirical estimates of the loss aversion coefficient reported during the past couple of decades. We...

I examine whether stochastic contracts benefit the principal in the setting of moral hazard and loss aversion. Incorporating that the agent is expectation-based loss averse and allowing the principal to add noise to performance signals, I find that stochastic contracts reduce the principal's...

Despite the prevalence of non-routine analytical team tasks in modern economies, little is known about how incentives influence performance in these tasks. In a field experiment with more than 3000 participants, we document a positive effect of bonus incentives on the probability of completion...

Despite the prevalence of non-routine analytical team tasks in modern economies, little is known about how incentives influence performance in these tasks. In a field experiment with more than 3000 participants, we document a positive effect of bonus incentives on the probability of completion...

In this paper we study the effects that loss contracts - prepayments that can be clawbacked later - have on group coordination when there is strategic uncertainty. We compare the choices made by experimental subjects in a minimum effort game. In control sessions, incentives are formulated as a...

This paper investigates the presence of framing effects and loss aversion in tax reporting behavior of wage earners using a balanced panel of German income tax return data. Reference dependence and loss aversion suggest that individuals in a perceived loss situation attribute higher value to a...

In this paper we investigate the influence of financial incentives on agents’ commitment success who use a self-bet mechanism to overcome their self-control problems. We use results from the theoretical model developed in Hirt-Schierbaum and Ivets (2020) that allows for heuristic bias in...

Within bank activities, which is normally defined as the joint exercise of savings collection and credit supply, risk-taking is natural, as in many human activities. Among risks related to credit intermediation, credit risk assumes particular importance. It is most simply defined as the...

The purpose of this article is to research how companies optimize income tax with the ambition to maintain the achieved sales and profits at the highest possible level. Its purpose is to find out whether companies in Slovakia compensate for higher tax liability by tax loss amortization to reduce...

Extending a standard credit-risk model illustrates that a single factor can drive both expected losses and the extent to which they may be exceeded in extreme scenarios, ie "unexpected losses." This leads us to develop a framework for forecasting these losses jointly. In an application to...

The Current Expected Credit Loss (CECL) revised accounting standard for credit loss provisioning is the most important change to United States (US) accounting standards in recent history. In this study, we survey and assess practices in the validation of models that support CECL, across...

In thi s paper we examine capital income taxation of a reference dependent sufficiently loss averse investor in a two period portfolio choice model under full loss offset provisions. Capital income taxation with loss offset provisions has been found to stimulate risk taking in expected utility...

Loan loss provisions in the euro area are negatively related to GDP growth, i.e., they are procyclical. Loan loss provisions tend to be more procyclical at larger and better capitalized banks. The procyclicality of loan loss provisions can explain about two-thirds of the variation of bank...

It is known that the classical ruin function under exponential claim-size distribution depends on two parameters, which are referred to as the mean claim size and the relative security loading. These parameters are assumed to be unknown and random, thus, a loss function that measures the loss...

Quantiles of probability distributions play a central role in the definition of risk measures (e.g., value-at-risk, conditional tail expectation) which in turn are used to capture the riskiness of the distribution tail. Estimates of risk measures are needed in many practical situations such as...

We develop a framework to analyze urban water tariff setting and its welfare implications and apply it to a panel of cities in the People's Republic of China in the 2000s. First, we find that peer cities' water tariff levels have a significant influence on a city's choice of tariffs. We use the...

For this research, we implemented a trading system based on the Turtle rules and examined its efficiency when trading selected assets from the Forex, Metals, Commodities, Energy and Cryptocurrency Markets using historical data. Afterwards, we enhanced our Turtle-based trading system with...

In this paper, we match data on student performance in a multiple-choice exam with data on student risk preferences that are extracted from a classroom experiment. We find that more-loss-averse students leave more questions unanswered and perform worse in the multiple-choice exam when giving an...

In capacity-then-price-setting games, soft capacity constraints are planned sales amounts where producing above capacity is possible but more costly. While the subgame perfect equilibrium predicts equal prices, experimental evidence often reveals price discrepancies. This failure to coordinate...

Evidence suggests that people evaluate outcomes relative to expectations. I analyze this expectation-based loss aversion (Köszegi and Rabin (2006, 2009)) in the context of dynamic and static auctions, where the reference point is given by the (endogenous) equilibrium outcome. If agents update...

We propose a novel approach for loss reserving based on deep neural networks. The approach allows for joint modeling of paid losses and claims outstanding, and incorporation of heterogeneous inputs. We validate the models on loss reserving data across lines of business, and show that they...

The purpose of this paper is to survey recent developments in granular models and machine learning models for loss reserving, and to compare the two families with a view to assessment of their potential for future development. This is best understood against the context of the evolution of these...

We show that it is beneficial for a buyer to conduct a multi-stage mechanism if bidders are loss averse. In a first step, we derive a revenue equivalence principle. Fixing the multi-stage structure, the revenue is independent of the chosen payment rule. Secondly, we introduce a simple two-stage...

Most of the European Member States employ anti-loss trafficking rules. They aim to prevent the acquisition of mere corporate shells with high tax loss carryforwards for the tax asset to be utilized in profitable companies. However, other corporations can unintentionally be affected by the...

This paper proposes an approach to decompose the RR/LGD model development process with two stages, specifically, for the RR/LGD rating model, and to calibrate the model using a linear form that minimizes residual risk. The residual risk in the recovery of defaulted debts is determined by the...