A practical road map for assessing cyber risk

The increase in interconnectivity and developments in technology have caused cyber security to become a universal concern. This paper highlights the dangers of the evolution of cyber risk, the challenges of quantifying the impact of cyber-attacks and the feasibility of the traditional actuarial methodologies for quantifying cyber losses. In this paper, we present a practical roadmap for assessing cyber risk, a roadmap that emphasizes the importance of developing a company and culture-specific risk and resilience model. We develop a structure for a Bayesian network to model the financial loss as a function of the key drivers of risk and resilience. We use qualitative scorecard assessment to determine the level of cyber risk exposure and evaluate the effectiveness of resilience efforts in the organization. We highlight the importance of capitalizing on the knowledge of experts within the organization and discuss methods for aggregating multiple assessments. From an enterprise risk management perspective, impact on value should be the primary concern of managers. This paper uses a value-centric/reputational approach to risk management rather than a regulatory/capital-centric approach to risk.     

Firms cash management,adjustment cost and its impact on firms’ speed of adjustment: a cross country analysis

Review of Quantitative Finance and Accounting - We investigate the firms’ specific attributes that determine the difference in speed of adjustment (SOA) towards the cash holdings target in...     

The impact of the internet on students’ enhancement of cultural aspects in design projects: a case study on interior design graduation projects,University of Dammam,Saudi Arabia

The paper explores the impact of the internet on students and their enhancement of their Identity and culture in the world of globalization. It is based on two stages; a theoretical background in the literature that provides criteria for examining the issue of the study. Then, the analytical study is done to the collected data. The paper incorporates two methods of data collection; a questionnaire survey to measure the instructors’ perception of how students should reflect the identity and local culture in their projects in the internet era, and statistical analysis of students’ implementation of cultural knowledge and identity features in their graduation projects in the new millennium before the usage of internet in the design education in the interval of 2001–2007 and after the usage of internet the interval between 2008 and 2015. Consequently, the paper is designed to generate both statistical quantitative and qualitative data. Despite the apparent impact of Globalization and internet based education on abandoning individual identity, yet it might lead to opening new horizons in front of dealing with cultural identity and heritage with a contemporary vision that integrates with nowadays architecture and at the same time refer to the unique identity.     

Bayesian and Bühlmann credibility for phase-type distributions with a univariate risk parameter

Credibility theory is a statistical tool to calculate the premium for the next period based on past claims experience and the manual rate. Each contract is characterized by a risk parameter. A phase-type (or PH) random variable, which is defined as the time until absorption in a continuous-time Markov chain, is fully characterized by two sets of parameters from that Markov chain: the initial probability vector and transition intensity matrix. In this article, we identify an interpretable univariate risk parameter from amongst the many candidate parameters, by means of uniformization. The resulting density form is then expressed as an infinite mixture of Erlang distributions. These results are used to obtain a tractable likelihood function by a recursive formula. Then the best estimator for the next premium, i.e. the Bayesian premium, as well as its approximation by the Bühlmann credibility premium are calculated. Finally, actuarial calculations for the Bühlmann and Bayesian premiums are investigated in the context of a gamma prior, and illustrated by simulated data in a series of examples.     

‘Gay Enclaves Face Prospect of Being PassÉ': How Assimilation Affects the Spatial Expressions of Sexuality in the United States

Journalists, activists and academics alike predict that gay neighborhoods in the United States will disappear, yet many of their claims are unsubstantiated or overly determined by economic factors. This article examines 40 years of media accounts to identify the mechanisms that explain why these urban areas are changing. I begin with the observation that the rate of assimilation of sexual minorities into mainstream society has accelerated in today's so‐called ‘post‐gay' era. Assimilation expands the residential imagination of gays and lesbians beyond the boundaries of a specific neighborhood to the entire city itself. Furthermore, as sexual orientation recedes in centrality in everyday life, residents opine that few care if a person self‐identifies as gay or straight. These two respective mechanisms of expansion and cultural sameness bring existing economic wisdom into dialogue with a cultural and political perspective about how our shifting understandings of sexuality also affect the decisions we make about where to live and socialize.     

Measuring Production and Irrigation Efficiencies of Rice Farms: Evidence from the Punjab Province,Pakistan

We employ a non‐parametric approach, data envelopment analysis, to estimate the technical and irrigation efficiency of rice farms in the Punjab Province of Pakistan. We use a cross‐sectional dataset of 80 rice growers, including 45 tube‐well owners and 35 water buyers. Mean technical efficiency scores show that tube‐well owners and water buyers are operating at fairly high efficiency levels, indicating that access to technology is not a major constraint. However, irrigation inefficiency is pronounced, with water buyers being more inefficient than tube‐well owners. A bootstrap truncated regression is used to investigate the determinants of technical and irrigation efficiency. We suggest that groundwater management policies should be designed to address efficiency enhancing factors such as knowledge of crop water consumption requirement, better credit opportunities, outreach extension services and training programs.     

A near Pareto optimal auction with budget constraints

In a setup where a divisible good is to be allocated to a set of bidders with budget constraints, we introduce a mechanism in the spirit of the Vickrey auction. In the mechanism we propose, understating budgets or values is weakly dominated. Since the revenue is increasing in budgets and values, all kinds of equilibrium deviations from true valuations turn out to be beneficial to the auctioneer. We also show that ex-post Nash equilibrium of our mechanism is near Pareto optimal in the sense that all full winners? values are above all full losers? values.     

Externalities in the agricultural export sector and economic growth: a developing country perspective

For years economists have ignored the diversity in agriculture and its potential to increase long run growth rates by enhancing a country's knowledge base. Non-traditional agriculture requires significant investments in the infrastructure and knowledge; and therefore, has the potential to increase long run growth rates. Policy makers in developing countries have tended to enact macroeconomic policies designed to enhance the manufacturing sector at the expense of the agricultural sector. A theoretical model is developed to explain the dynamics between two non-traditional export sectors and the long run economic growth of the country. The model illustrates that growth in highly perishable agricultural exports, not domestic production of manufactured goods, can potentially lead to higher long run growth rates. The model is applied to the fruit and flower industries in Colombia to bring forth an example with real world relevance.     

Real-world comparison of all-cause hospitalizations,hospitalizations due to stroke and major bleeding,and costs for non-valvular atrial fibrillation patients prescribed oral anticoagulants in a US health plan

Aims: To compare the risk of all-cause hospitalization and hospitalizations due to stroke/systemic embolism (SE) and major bleeding, as well as associated healthcare costs for non-valvular atrial fibrillation (NVAF) patients initiating apixaban, dabigatran, rivaroxaban, or warfarin.

Materials and methods: NVAF patients initiating apixaban, dabigatran, rivaroxaban, or warfarin were selected from the OptumInsight Research Database from January 1, 2013–September 30, 2015. Propensity score matching (PSM) was performed between apixaban and each oral anticoagulant. Cox models were used to estimate the risk of stroke/SE and major bleeding. Generalized linear and 2-part models were used to compare healthcare costs.

Results: Of the 47,634 eligible patients, 8,328 warfarin-apixaban pairs, 3,557 dabigatran-apixaban pairs, and 8,440 rivaroxaban-apixaban pairs were matched. Compared to apixaban, warfarin patients were associated with a significantly higher risk of all-cause (hazard ratio [HR]?=?1.30; 95% confidence interval [CI]?=?1.21–1.40) as well as stroke/SE-related (HR?=?1.60; 95% CI?=?1.23–2.07) and major bleeding-related (HR?=?1.95; 95% CI?=?1.60–2.39) hospitalization; rivaroxaban patients were associated with a higher risk of all-cause (HR?=?1.15; 95% CI?=?1.07–1.24) and major bleeding-related hospitalization (HR?=?1.71; 95% CI?=?1.39–2.10); and dabigatran patients were associated with a higher risk of major bleeding hospitalization (HR?=?1.46, 95% CI?=?1.02–2.10). Warfarin patients had significantly higher major bleeding-related and total all-cause healthcare costs compared to apixaban patients. Rivaroxaban patients had significantly higher major bleeding-related costs compared to apixaban patients. No significant results were found for the remaining comparisons.

Limitations: No causal relationships can be concluded, and unobserved confounders may exist in this retrospective database analysis.

Conclusions: This study demonstrated a significantly higher risk of hospitalization (all-cause, stroke/SE, and major bleeding) associated with warfarin, a significantly higher risk of major bleeding hospitalization associated with dabigatran or rivaroxaban, and a significantly higher risk of all-cause hospitalization associated with rivaroxaban compared to apixaban. Lower major bleeding-related costs were observed for apixaban patients compared to warfarin and rivaroxaban patients.     

Cancellation of Executive Stock Options: Tax and Accounting Income Considerations*

Canadian firms face a trade‐off between reporting higher accounting income and paying lower taxes that arises from their ability to cancel in‐the‐money executive stock options and making a substitute cash payment to the executive instead of issuing shares. Firms' trade‐off hypotheses are operationalized in a multilateral framework and empirically tested using insider‐trading data. The multilateral approach is designed to control for the incentive effects of alternative compensation schemes and to determine the cancellation payment that keeps the executive indifferent between receiving cash or shares. The results show that firms consider both taxes and financial reporting costs in determining their option cancellation behavior.