Analysis Of The Effect Of The European Debt Crisis On The Saudi Arabian Economy

This paper investigates the economic impact of the 2009 European debt crisis on Saudi Arabia’s real economy from 2004 Q2 to 2014 Q2 using a structural vector autoregressive model (SVAR). The results of the impulse response functions obtained from the aggregated data show that the shock to European imports from Saudi Arabia had a significant impact on the real effective exchange rate, inflation rate, and economic growth that lasted for three periods. Moreover, the variance decomposition analysis shows that Europe’s imports from Saudi Arabia explain approximately 20% of the variance of the Saudi real effective exchange rate and real economic growth, 10% of the interest rate variability, and only 5% of the inflation rate variance. The results of the individual country analysis show that the impact of shocks to imports from all European countries had an instantaneous impact, except for France and Spain, where the impact on the economic growth was significant in the second and sixth periods respectively. The results suggest that Saudi Arabian policymakers should continue the process of export diversification in order to reduce its dependence on this region

The Resilient Dairy Genome Project - a general overview of methods and objectives related to feed efficiency and methane emissions.

The Resilient Dairy Genome Project (RDGP) is an international large-scale applied research project that aims to generate genomic tools to breed more resilient dairy cows. In this context, improving feed efficiency and reducing greenhouse gases from dairy is a high priority. The inclusion of traits related to feed efficiency (e.g., dry matter intake [DMI]) or greenhouse gases (e.g., methane emissions [CH4]) relies on available genotypes as well as high quality phenotypes. Currently, 7 countries, i.e., Australia [AUS], Canada [CAN], Denmark [DNK], Germany [DEU], Spain [ESP], Switzerland [CHE], and United States of America [USA] contribute with genotypes and phenotypes including DMI and CH4. However, combining data is challenging due to differences in recording protocols, measurement technology, genotyping, and animal management across sources. In this study, we provide an overview of how the RDGP partners address these issues to advance international collaboration to generate genomic tools for resilient dairy. Specifically, we describe the current state of the RDGP database, data collection protocols in each country, and the strategies used for managing the shared data. As of February 2022, the database contains 1,289,593 DMI records from 12,687 cows and 17,403 CH4 records from 3,093 cows and continues to grow as countries upload new data over the coming years. No strong genomic differentiation between the populations was identified in this study, which may be beneficial for eventual across-country genomic predictions. Moreover, our results reinforce the need to account for the heterogeneity in the DMI and CH4 phenotypes in genomic analysis

A time-varying copula approach for modelling dependency: New evidence from commodity and stock markets

This paper examines the time-varying conditional dependency between commodity markets and stock markets by applying the rolling-sample technique on the dependence parameter of copula. The dataset consists of the closing prices of twelve commodities and the SP500, CAC40, DAX30 and FTSE100 indices during the period from July 7, 1992 to February 17, 2015. To date precisely the breakpoints in the dynamics of the copula parameter of dependence, we employ Bai and Perron’s (BP, 1998, 2003) structural break-testing procedure.Our empirical findings show that among the seven copulas investigated, the Student’s t-copula is more appropriate for modelling dependency. Moreover, the BP procedure shows strong evidence of time-varying behaviour in the parameter of dependence. The results show that the dates of breaks correspond to economic and financial events, such as the global financial crisis and crude oilprice fluctuations

Risk factors of road accident severity and the development of a new system for prevention: New insights from China

Road accident fatalities and accident severity costs have become top priorities and concerns for Chinese policymakers. Understanding the principal factors that explain accident severity is considered to be the first step towards the adequate design of an accident prevention strategy. In this paper, we examine the contribution of various types of factors (vehicle, driver and others) in explaining accident severity in China. Unlike previous studies, the analysis gives a particular focus on fatal accidents. Using a large sample of 405,177 observations for 4-wheeled vehicles in the year 2017 and various statistical and econometrics approaches (e.g., OLS, quantile regression and extreme value theory), the results show that the factors explaining the severity of accidents differs significantly between normal and extreme severity accidents, e.g. across quantiles. Interestingly, we find that the gender factor is only significant for fatal accidents. In particular, the analysis shows that male drivers have an increased likelihood of extreme risk taking. On the basis of these empirical findings, a new ratemaking approach that aims to improve road safety and prevention is discussed and proposed. 2019 Elsevier LtdScopu

Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors

Cryptocurrencies are gradually establishing themselves as a new class of assets with unique features, although there remains skepticism and a lack of understanding of their nature. In this study, we compare the financial properties of these new digital assets and investigate their dynamic relationship with major financial securities and commodities. Furthermore, we evaluate the economic and financial potential benefits of cryptocurrencies for financial investors. Using different time-varying copula approaches and bivariate dynamic conditional correlation GARCH models, we find that the cross-correlation with conventional assets is changing over time but weak, supporting the idea that these cryptocurrencies can be suitable for financial diversification. However, our analysis of portfolios shows that cryptocurrencies are poor hedging instruments in most of the considered cases. Moreover, we find that the relationship between cryptocurrencies and conventional assets is sensitive to external economic and financial shocks. 2019 Elsevier B.V.Scopu

An intra-cryptocurrency analysis of volatility connectedness and its determinants: Evidence from mining coins, non-mining coins and tokens

This paper analysis the dynamic of the volatility connectedness between three main categories of the cryptocurrency market (mineable coins, non-mineable coins and tokens). 2022 The AuthorsThis paper was made possible by NPRP Cluster grant # 11C-1229-170007 from the Qatar National Research Fund (a member of Qatar foundation). The opinions expressed and statements made in this paper are those of the authors and are not intended to represent the positions or opinions of the Qatar Foundation or its members.Scopu

SLURP1 is a late marker of epidermal differentiation and is absent in Mal de Meleda

SLURP1 is a secreted member of the LY6/PLAUR protein family. Mutations in the SLURP1 gene are the cause of Mal de Meleda (MDM), a rare autosomal recessive genetic disease, characterized by inflammatory palmoplantar keratoderma. In this study, we have analyzed the expression of SLURP1 in normal and MDM skin. SLURP1 was found to be a marker of late differentiation, predominantly expressed in the granular layer of skin, notably the acrosyringium. Moreover, SLURP1 was also identified in several biological fluids such as sweat, saliva, tears, and urine from normal volunteers. In palmoplantar sections from MDM patients, as well as in their sweat, mutant SLURP1, including the new variant R71H-SLURP1, was either absent or barely detectable. Transfected human embryonic kidney 293T cells expressed the MDM mutant SLURP1 containing the single amino-acid substitution G86R but did not tolerate the MDM mutation W15R located in the signal peptide. Thus, most MDM mutations in SLURP1 affect either the expression, integrity, or stability of the protein, suggesting that a simple immunologic test could be used as a rapid screening procedure