This paper evaluates the role of various volatility specifications, such as multiple stochastic volatility (SV) factors and jump components, in appropriate modeling of equity return distributions.
To enhance our understanding of emerging markets, we study a data set from the Casablanca stock exchange containing all the transaction records over a long span. The exchange was included in 1996 in the International Finance Corporation (IFC) data base roughly 3 years after important market reforms.
We propose a class of two factor dynamic models for duration data and related risk analysis in finance and insurance. Empirical findings suggest that the conditional mean and (under) overdispersion of times elapsed between stock trades feature various patterns of temporal dependence.
Simulation-based estimation methods have become more widely used in recent years. We propose a set of tests for structural change in models estimated via simulated method of moments (see Duffe and Singleton (Econometrica 61 (1993) 929).
We investigate the consequences of public disclosure of information from company income tax returns filed in Australia. Supporters of more disclosure argue that increased transparency will improve tax compliance, while opponents argue that it will divulge sensitive information that is, in many cases, misunderstood.
The essence of a brand is that it delivers on its promises. However, consumers’ trust in brands (CTB) has declined around the world in recent decades. As a result, CTB has become a major concern for managers. The authors examine whether CTB is influenced by marketing-mix activities (i.e., advertising, new product introduction, distribution, price, and price promotion) implemented by brands.
This monograph provides a structured overview of costing system research that can explain the variation in the characteristics and properties of costing systems found in practice based on firms’ source(s) of their demand for cost information. Costing systems are not developed in a vacuum but are designed to fulfill a purpose. In order to have a meaningful decision on the various demands for cost information, I start in Part 1 by exploring the different techniques firms can use to supply cost information to its managers and employees.
We study complexity in the market for securitized products, a market at the heart of the financial crisis of 2007–9. The complexity of these products rose substantially in the years preceding the financial crisis. We find that securities in more complex deals default more and have lower realized returns.
We analyze how Dodd-Frank-mandated risk retention affects the information investors extract from issuers’ retention choices in the CMBS market. We show that the required retention level is both binding and stringent.
We construct a new data set tracking the daily value of life insurers’ assets at the security level. Outside of the 2008–2009 crisis, a $1 drop in the market value of assets reduces an insurer’s market equity by $0.10. During the financial crisis, this pass-through rises to $1.
The idea that new ventures are simple mimetic reflections of the organizational practices of existing organizations contradicts the recognized importance of organizational diversity for innovation. There is an inherent contradiction in the literature between the persistence implied by the inheritance of practices from prior employment, and the experimentation prevalent in the organizational practices contributed by new organizations. This paper first accounts for mechanisms that may drive heritage of practices from parent organizations to their spawns.
Private equity performance, both for buyouts and venture capital, has been highly cyclical: periods of high fundraising have been followed by periods of low performance. Despite this seemingly predictable variation, we find modest gains, at best, to pursuing realistic, investable strategies that time capital commitments to private equity. This occurs, in part, because investors can only time their commitments to funds; they cannot time when commitments are called or when investments are exited. There is a high degree of time-series correlation in net cash flows even across commitment strategies that allocate capital in a very different manner over time.
We study complexity in the market for securitized products, a market at the heart of the financial crisis of 2007-2009. The complexity of these products rose substantially in the years preceding the financial crisis. We find that securities in more complex deals default more and have lower realized returns. The worse performance is economically meaningful: a one standard deviation increase in complexity represents an 18% increase in default on AAA securities. However, yields of more complex securities are not higher indicating that investors did not perceive them as riskier. Our results are consistent with complexity obfuscating security quality.
Former Kenan Institute Center for Sustainable Enterprise Research Associate and current ACTIVEST Co-founder Napoleon Wallace's latest project was recently featured in a New York Times DealBook newsletter piece. The article discusses the rating system his company is developing, . . .
The rise of crowdsourcing platforms as a potential source for innovative ideas presents a challenge: How do you attract contributors to work on your particular problem?1 Past research has demonstrated the importance of well-crafted problem statements as a means to attract more innovative solutions. But what really goes into a problem statement that engages the crowd? Do the statements that attract a large number of proposed ideas share common elements?
Following state-level legal changes that increase labor dismissal costs, firms increase their innovation in new processes that facilitate the adoption of cost-saving production methods, especially in industries with a large share of labor costs in total costs. Firms with high innovation ability exhibit larger increases in process innovation and capital-labor ratios, an effect driven by both increases in capital investment and decreases in employment. By facilitating the adjustment of the input mix when conditions in input markets change, innovation ability allows firms to mitigate value losses and is a key driver of their performance.
Hasbrouck (2018) takes advantage of the fact that U.S. equity market data are timestamped to nanosecond precision, and explores models of price dynamics at resolutions sufficient to capture the reactions of the fastest agents. The paper therefore addresses the econometric analysis of multivariate time series models at sub-millisecond frequencies and relies on long distributed lag models to alleviate the computational complexity while still taking advantage of the inherent sparsity of price transitions.
We evaluate the impacts of tax policy on asset returns using the U.S. municipal bond market. In theory, tax-induced ownership segmentation limits risk sharing, creating downward-sloping regions of the aggregate demand curve for the asset. In the data, cross-state variation in tax privilege policies predicts differences in in-state ownership of local municipal bonds; the policies create incentives for concentrated local ownership.
To be effective, experts need to simultaneously develop others (i.e. provide advice and feedback to novices) and advance their own learning (i.e. seek and incorporate advice and feedback from others). However, expertise, and the state of efficacy associated with it, can inhibit experts from engaging in these activities or doing so effectively. We discuss when and why cognitive entrenchment and reduced perspective taking lead experts to hold misperceptions about others. We then explain how these misperceptions lead experts to provide less helpful advice and feedback to novices and to be less likely to seek and take input from others. We offer insights to overcome these barriers, enhancing experts’ ability to provide and propensity to seek advice and feedback.
Given that mask-wearing proved to be an important tool to slow the spread of infection during the COVID-19 pandemic, investigating the psychological and cultural factors that influence norms for mask wearing across cultures is exceptionally important. One factor that may influence mask wearing behavior is the degree to which people believe masks potentially impair emotion recognition.