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Abstract Background Orobanche is an obligate parasite on faba bean in the Mediterranean region, causes considerable yield losses. Breeding tolerant faba bean genotypes to Orobanche is pivotal to sustain production and ensuring global food security, particularly considering the challenges posed by population growth. In the present study, seven faba bean lines and four testers were used in a line×tester mating design during 2020–2021 and 2021–2022 growing seasons. The eleven parents and their 28 F1 crosses were evaluated under Orobanche free and naturally infested soils. Results The results demonstrated considerable variations among the evaluated genotypes, wide diversity among the parental materials, and heterotic effects for all studied agronomic traits under Orobanche-free and infested soils. Orbanche infestation displayed a significant adverse impact on all the studied agronomic traits. The genotypes Line1, Line2, Line3, and Line5 displayed superior performance under Orobanche-infested conditions and recorded the highest values of all studied agronomic traits. Additionally, Line1, Line2, Line3, Line5, and Line7 exhibited desirable significant GCA for most evaluated traits under the two infestation conditions. The obtained crosses displayed significant negative or positive heterosis for studied agronomic characters such as plant height, number of branches per plant, number of pods per plant, number of seeds per plant, and seed weight per plant were observed. Furthermore, specific cross combinations such as Line2×Sakha3, Line3×Nubaria5, Line7 × Nubaria5, Line6×Nubaria1, Line5×Sakha3, Line1×Sakha3, and Line1 × Nubaria5 exhibited superior performance in seed yield and contributing traits under Orobanche-infested conditions. Moreover, these specific crosses showed superior efficacy in reducing dry weight of Orobanche spikes. The results obtained from GGE biplot analysis closely aligned with those from the line×tester procedure, affirming the significance of GGE biplot as a valuable statistical tool for assessing genotype combining ability in line× tester data. Both additive and non-additive gene actions were reported to be predominantly involved in the inheritance of the studied agronomic traits in faba bean. Conclusions The detected genetic diversity within the evaluated faba bean genotypes and their developed crosses exhibits substantial potential for improving faba bean productivity under Orobanche-infested conditions. The parental genotypes, Line1, Line2, Line3, Line5, and Line7, were identified as effective and promising combiners. Moreover, the developed crosses Line2×Sakha3, Line3×Nubaria5, Line7×Nubaria5, Line6×Nubaria1, Line5×Sakha3, Line1×Sakha3, and Line1×Nubaria5 could be considered valuable candidates for developing high-yielding and tolerant faba bean genotypes to Orobanche.

Introduction: Middle East Respiratory Syndrome (MERS) is a viral respiratory disease caused by a coronavirus variant in the Arabian Peninsula. There is a lack of information regarding awareness and practices of community pharmacists in Qatar for this contagious disease. Aim: To determine the quality of the MERS-related information, recommendations, and counseling practices provided by Qatar’s community pharmacists by using Simulated Client Method (SCM). Materials and Methods: An observational cross-sectional study using a non traditional SCM was conducted in community pharmacies of Qatar from February 2017 to April 2017. A total of 30 community pharmacies were visited twice by two independent simulated clients and data regarding, provision of evidence-based information, recommendations and counseling practices were collected to assess the competency of pharmacists in managing MERS as a primary care problem. Both descriptive and inferential statistical methods were used for data analysis. Results: In present study, majority of pharmacists encountered were male and younger than 45-year-old with 44 (73.3%) each. The average number of pharmacists who did not ask about the patient’s current medical conditions 56 (93.3), medications 58 (97.5%), allergies, and smoking status in both scenarios were not asked by any of the pharmacist. Most of the pharmacists gave an incorrect explanation of MERS 43 (71.7%). The overall quality counselling score for the pharmacists (mean±SD; median (IQR)) was {27.5±4.5; 28.5 (25.3-30.0)}. Quality counselling was significantly related to the type of pharmacy (p=0.0478). Conclusion: Qatar community pharmacist’s MERS related information, recommendations, and counseling practices were below expectations and inconsistent, thus urging the need for continuous professional development.

Faba bean is considered one of the most prominent grain legumes, with high protein content for human food consumption and livestock feed. The present study evaluated the nature of gene action and determined the genetic diversity among different populations of three crosses for resistance to foliar diseases at the molecular level. Analysis of variance exposed significant differences among the generations for all measured traits. Both dominance and additive gene effects were essential, but dominance genes, for the most part, exhibited greater effects than additive ones. This indicates an essential role for dominant genes alongside the additives one in inheriting such traits. The third cross (Marina × Giza 40) gave desired significant and positive (additive × additive) values for the number of pods/plant, seeds/plant, and seed yield/plant, in addition to desirable negative values for chocolate spot and rust characteristics. Furthermore, assessing the lines under study using seven SCoT primers disclosed three bands with recorded molecular weights of 260, 207, and 178 bp, generated by SCoT-1, SCoT-4, and SCoT-7 primers, respectively. These bands exist in the resistant parent (Marina), which could be attributed to the high-disease-resistance phenotypes, and they are absent in the sensitive parent (Giza 40) and other putative sensitive lines. Based on the molecular profiles and the genetic similarity between parents and the selected lines, the highest similarity value (0.91) was detected between Marina genotype and BC1, revealing a high foliar disease resistance. Meanwhile, Giza 40 (susceptible to foliar diseases) exhibited the maximum value (0.93) with F2. Additionally, cluster analysis based on genetic relationships was performed, and a high level of correlation between the results of PCR-based SCoT analysis and the foliar disease reactions was observed in the field. Consequently, this study concluded that SCoT markers created reliable banding profiles for evaluating genetic polymorphism among faba bean lines, which could be a foundation for developing an efficient breeding program.

Pea (Pisum sativum L.) is a vital leguminous crop farmed worldwide. Pea plays an essential role in China’s crop rotation system, but the major restrictions to its cultivation are stability and low yield. Breeding for promising cultivars with a significantly high yield will impact the sustainability of pea production. Additionally, diverse environment trials are crucial in determining the best genotype. The new cultivar “Yunwan 52” was developed by hybridization and subsequently evaluated through yield trials among six pea genotypes across 14 environments during the 2016–2018 growing seasons. The results showed that the average yield of “Yunwan 52” for all tested environments was 2.64 t ha−1 compared to the control cultivar (Yunwan 18, 1.83 t ha−1). Analysis of AMMI variance showed significant differences (p < 0.01) between genotypes, environments, and their interaction. Based on the GGE biplot, some genotypes possessed wide and narrow adaptability to environments, such as Yunwan 52 was considered the most stable and ideal gen-otype across all tested environments. GYT biplot analysis also revealed that this realized cultivar was a superior and stable genotype that can be identified visually by combining all characters in breeding programs. Yunwan 52 distinguishes with purple blossoms and seed coat peas. It is possible to infer that the newly released cultivar “Yunwan 52” has outstanding yield performance and wide adaptability to multiple environmental conditions (resilience to abiotic stress). It will contribute to developing nutritional pea genotypes and increase pea production in irrigated areas.

Background: Identifying and quantifying potentially inappropriate prescribing (PIP) practices remains a time-consuming and challenging task, particularly among the pediatric population. In recent years, several valuable tools have been developed and validated for assessing PIP. This study aimed to determine the prevalence of PIP and related risk factors in pediatric patients at a tertiary care hospital in Oman. Materials and Methods: A retrospective study was conducted by reviewing the medical records of pediatric patients (Results: A total of 685 patients were included; 57.5% were male, and 30.5% had at least one comorbidity. Polypharmacy was identified in 70.2% of these patients, with a median of 2 (1–3) medications. PIM was observed in 20.4% of the cohort, with the highest in ENT-pulmonary disease (30.5%), followed by dermatological disorders (28.6%). PPO was identified in 6.9% of the patients with digestive and neuropsychiatric disorders, with the highest rate of 54% and 24%, respectively. Age (p = 0.006), number of medications (p = 0.034), and prescriber rank (p = 0.006) were identified as significant predictors of PIM, whereas age (p = 0.044) was the only significant predictor for PPO. Conclusions: The rates of PIM and PPO were high in this study population. In light of these findings, educational and interventional activities and programs are needed.

This study investigates the relationship between Enterprise Risk Management adoption and implementation, and the performance of banks using a sample of four out of the seven Strategically Important Banks (SIB) listed on the Nigerian Stock Exchange covering the period from 2005 q1 to 2015 q2. In this study, we determined a measure for Enterprise Risk Management (ERM) adoption or implementation (ERM index) using an integrated Enterprise Risk Management measurement model for the banking sector suggested by Soliman and Mukhtar (2017). A time series Johansen’s cointegration test was used to obtain evidence of the long-term association between ERM and performance, while Vector Error Correction Model (VECM) analysis was performed to gather evidence of causality relationship between ERM and performance. Finally, Generalized Impulse Response Function was used to obtain evidence of how performance responds to the introduction of a shock on Enterprise Risk Management. This study makes significant contributions to the existing body of knowledge, as it yields the first Enterprise Risk Management-performance-based empirical results that indicate a long-term relationship, causation effects, in addition to responding to performance ERM.

This study derives an optimal macroeconomic policy combination for financial sector stability in the United Kingdom by employing a New Keynesian Dynamic Stochastic General Equilibrium (NK-DSGE) framework. The empirical results obtained show that disciplined fiscal and accommodative monetary policies stance is optimal for financial sector stability. Furthermore, fiscal indiscipline countered by contractionary monetary stance adversely affects financial sector stability. Financial markets, e.g. stocks and Gilts show a short-term asymmetric response to macroeconomic policy interaction and to each other. The asymmetry is a reflection of portfolio adjustment. However in the long-run, the responses to suggested optimal policy combination had homogenous effects and there was evidence of co-movement in the stock and Gilt markets.

The association between economic and financial stabilities and influence of macroeconomic policies on the financial sector creates scope of active policy role in financial stability. As a contribution to the existing body of knowledge, this study has analysed the implications of macroeconomic policy interaction/coordination for financial stability, proxied by financial assets, i.e. equity and bonds price oscillation. The critical review and analysis of the existing literature on the subject suggests that there is also ample evidence of interdependence between monetary and fiscal policies and this interrelation necessitates coordination between them for the sake of financial stability. There is also a case for analysing the symmetry of financial markets responses to macroeconomic policy interaction. On methodological and empirical grounds, it is vital to test the robustness of policy recommendations to overcome the limitation of a single empirical approach (Jeffrey–Lindley’s paradox). Hence, the Frequentist and Bayesian approaches should be used in commentary manner. The policy interaction and optimal policy combination should also be analysed in the context of institutional design and major financial events to gain insight into the implications of policy interaction in the periods of stable economic and financial environments as well as period of financial and economic distress.

This study examines the short- and medium-run dependence structures across carbon emissions prices, commodity futures, equity prices, and geopolitical uncertainty in the case of the BRICS countries. Previous studies have focused on the co-movement between commodity futures and equity prices, with a few attempts at capturing the economic uncertainty in that relationship but failed to look at the broader context of both emission prices and geopolitical uncertainty. This study employs the spillover index developed by Diebold and Yilmaz and data spaning from January 3, 2008, to October 31, 2021 to identify the dependence structure across ETS, commodity futures, equity prices, and geopolitical uncertainty (GPR). Our key findings suggest that the contribution of the MOEX Russia Index to the natural gas prices return is the highest. As the ETS is concerned, the GPR of China plays the most crucial role compared to other BRICS countries. Comparing energy commodities (e.g. ETS and natural gas), the net pairwise spillover effects of oil to metal commodities are more evident. Among the GPRs of BRICS countries, China, India, Russia, and Brazil have a positive net pairwise directional connectedness transmitted to South Africa. For stakholders working in commodity trading, the insights obtained from this research is essential for developing strategies that lessen the effects of geopolitical risks and help in promoting more resilient and stable commodity markets. [ABSTRACT FROM AUTHOR]

This study examines the co-movement between geopolitical risk (GPR), energy price, and bitcoin (BTC) in BRICS countries, namely Brazil, Russia, India, China, and South Africa. Previous studies have focused on the impact of GPR on the volatility and risk premium of BTC investment. However, very limited studies have focused on integrating BTC as an extension of the mix of GPR on the co-movement with energy price. The analysis is based on monthly data of GPR index for BRICS countries, brent oil futures, natural gas futures and BTCs covering the period between March 2012 and Jun 2021. We employ the Bayesian graphical structural vector autoregressive model and time-varying parameter vector autoregressions-based dynamic connectedness to investigate the network-dependence structure. This research project provides useful empirical evidence for assessing the impact of both BTC and GPR on energy prices. Nonetheless, it will also be informative about the likelihood of co-movements occurring at different stages. [ABSTRACT FROM AUTHOR]

Background: Orobanche is an obligate parasite on faba bean in the Mediterranean region, causes considerable yield losses. Breeding tolerant faba bean genotypes to Orobanche is pivotal to sustain production and ensuring global food security, particularly considering the challenges posed by population growth. In the present study, seven faba bean lines and four testers were used in a line×tester mating design during 2020–2021 and 2021–2022 growing seasons. The eleven parents and their 28 F1 crosses were evaluated under Orobanche free and naturally infested soils. Results: The results demonstrated considerable variations among the evaluated genotypes, wide diversity among the parental materials, and heterotic effects for all studied agronomic traits under Orobanche-free and infested soils. Orbanche infestation displayed a significant adverse impact on all the studied agronomic traits. The genotypes Line1, Line2, Line3, and Line5 displayed superior performance under Orobanche-infested conditions and recorded the highest values of all studied agronomic traits. Additionally, Line1, Line2, Line3, Line5, and Line7 exhibited desirable significant GCA for most evaluated traits under the two infestation conditions. The obtained crosses displayed significant negative or positive heterosis for studied agronomic characters such as plant height, number of branches per plant, number of pods per plant, number of seeds per plant, and seed weight per plant were observed. Furthermore, specific cross combinations such as Line2×Sakha3, Line3×Nubaria5, Line7 × Nubaria5, Line6×Nubaria1, Line5×Sakha3, Line1×Sakha3, and Line1 × Nubaria5 exhibited superior performance in seed yield and contributing traits under Orobanche-infested conditions. Moreover, these specific crosses showed superior efficacy in reducing dry weight of Orobanche spikes. The results obtained from GGE biplot analysis closely aligned with those from the line×tester procedure, affirming the significance of GGE biplot as a valuable statistical tool for assessing genotype combining ability in line× tester data. Both additive and non-additive gene actions were reported to be predominantly involved in the inheritance of the studied agronomic traits in faba bean. Conclusions: The detected genetic diversity within the evaluated faba bean genotypes and their developed crosses exhibits substantial potential for improving faba bean productivity under Orobanche-infested conditions. The parental genotypes, Line1, Line2, Line3, Line5, and Line7, were identified as effective and promising combiners. Moreover, the developed crosses Line2×Sakha3, Line3×Nubaria5, Line7×Nubaria5, Line6×Nubaria1, Line5×Sakha3, Line1×Sakha3, and Line1×Nubaria5 could be considered valuable candidates for developing high-yielding and tolerant faba bean genotypes to Orobanche. [ABSTRACT FROM AUTHOR]

Copyright of Scientific Journal of Agricultural Sciences (SJAS) is the property of Beni Suef University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Faba bean is considered one of the most prominent grain legumes, with high protein content for human food consumption and livestock feed. The present study evaluated the nature of gene action and determined the genetic diversity among different populations of three crosses for resistance to foliar diseases at the molecular level. Analysis of variance exposed significant differences among the generations for all measured traits. Both dominance and additive gene effects were essential, but dominance genes, for the most part, exhibited greater effects than additive ones. This indicates an essential role for dominant genes alongside the additives one in inheriting such traits. The third cross (Marina × Giza 40) gave desired significant and positive (additive × additive) values for the number of pods/plant, seeds/plant, and seed yield/plant, in addition to desirable negative values for chocolate spot and rust characteristics. Furthermore, assessing the lines under study using seven SCoT primers disclosed three bands with recorded molecular weights of 260, 207, and 178 bp, generated by SCoT-1, SCoT-4, and SCoT-7 primers, respectively. These bands exist in the resistant parent (Marina), which could be attributed to the high-disease-resistance phenotypes, and they are absent in the sensitive parent (Giza 40) and other putative sensitive lines. Based on the molecular profiles and the genetic similarity between parents and the selected lines, the highest similarity value (0.91) was detected between Marina genotype and BC1, revealing a high foliar disease resistance. Meanwhile, Giza 40 (susceptible to foliar diseases) exhibited the maximum value (0.93) with F2. Additionally, cluster analysis based on genetic relationships was performed, and a high level of correlation between the results of PCR-based SCoT analysis and the foliar disease reactions was observed in the field. Consequently, this study concluded that SCoT markers created reliable banding profiles for evaluating genetic polymorphism among faba bean lines, which could be a foundation for developing an efficient breeding program. [ABSTRACT FROM AUTHOR]

Pea (Pisum sativum L.) is a vital leguminous crop farmed worldwide. Pea plays an essential role in China's crop rotation system, but the major restrictions to its cultivation are stability and low yield. Breeding for promising cultivars with a significantly high yield will impact the sustainability of pea production. Additionally, diverse environment trials are crucial in determining the best genotype. The new cultivar "Yunwan 52" was developed by hybridization and subsequently evaluated through yield trials among six pea genotypes across 14 environments during the 2016–2018 growing seasons. The results showed that the average yield of "Yunwan 52" for all tested environments was 2.64 t ha−1 compared to the control cultivar (Yunwan 18, 1.83 t ha−1). Analysis of AMMI variance showed significant differences (p < 0.01) between genotypes, environments, and their interaction. Based on the GGE biplot, some genotypes possessed wide and narrow adaptability to environments, such as Yunwan 52 was considered the most stable and ideal gen-otype across all tested environments. GYT biplot analysis also revealed that this realized cultivar was a superior and stable genotype that can be identified visually by combining all characters in breeding programs. Yunwan 52 distinguishes with purple blossoms and seed coat peas. It is possible to infer that the newly released cultivar "Yunwan 52" has outstanding yield performance and wide adaptability to multiple environmental conditions (resilience to abiotic stress). It will contribute to developing nutritional pea genotypes and increase pea production in irrigated areas. [ABSTRACT FROM AUTHOR]

Introduction: Middle East Respiratory Syndrome (MERS) is a viral respiratory disease caused by a coronavirus variant in the Arabian Peninsula. There is a lack of information regarding awareness and practices of community pharmacists in Qatar for this contagious disease. Aim: To determine the quality of the MERS-related information, recommendations, and counseling practices provided by Qatar's community pharmacists by using Simulated Client Method (SCM). Materials and Methods: An observational cross-sectional study using a non traditional SCM was conducted in community pharmacies of Qatar from February 2017 to April 2017. A total of 30 community pharmacies were visited twice by two independent simulated clients and data regarding, provision of evidence-based information, recommendations and counseling practices were collected to assess the competency of pharmacists in managing MERS as a primary care problem. Both descriptive and inferential statistical methods were used for data analysis. Results: In present study, majority of pharmacists encountered were male and younger than 45-year-old with 44 (73.3%) each. The average number of pharmacists who did not ask about the patient's current medical conditions 56 (93.3), medications 58 (97.5%), allergies, and smoking status in both scenarios were not asked by any of the pharmacist. Most of the pharmacists gave an incorrect explanation of MERS 43 (71.7%). The overall quality counselling score for the pharmacists (mean±SD; median (IQR)) was {27.5±4.5; 28.5 (25.3-30.0)}. Quality counselling was significantly related to the type of pharmacy (p=0.0478). Conclusion: Qatar community pharmacist's MERS related information, recommendations, and counseling practices were below expectations and inconsistent, thus urging the need for continuous professional development. [ABSTRACT FROM AUTHOR]

Background: Identifying and quantifying potentially inappropriate prescribing (PIP) practices remains a time-consuming and challenging task, particularly among the pediatric population. In recent years, several valuable tools have been developed and validated for assessing PIP. This study aimed to determine the prevalence of PIP and related risk factors in pediatric patients at a tertiary care hospital in Oman. Materials and Methods: A retrospective study was conducted by reviewing the medical records of pediatric patients (<18 years) from 1 October to 31 December 2019. Potentially inappropriate medication (PIM) and potential prescribing omission (PPO) were assessed using an internationally validated pediatric omission of prescriptions and inappropriate prescriptions (POPI) tool. Results: A total of 685 patients were included; 57.5% were male, and 30.5% had at least one comorbidity. Polypharmacy was identified in 70.2% of these patients, with a median of 2 (1–3) medications. PIM was observed in 20.4% of the cohort, with the highest in ENT-pulmonary disease (30.5%), followed by dermatological disorders (28.6%). PPO was identified in 6.9% of the patients with digestive and neuropsychiatric disorders, with the highest rate of 54% and 24%, respectively. Age (p = 0.006), number of medications (p = 0.034), and prescriber rank (p = 0.006) were identified as significant predictors of PIM, whereas age (p = 0.044) was the only significant predictor for PPO. Conclusions: The rates of PIM and PPO were high in this study population. In light of these findings, educational and interventional activities and programs are needed. [ABSTRACT FROM AUTHOR]

Considering the important role of the exchange industry in the optimal allocation of resources and economic growth, as well as promoting a culture of attention to sustainability issues, the purpose of this study is to provide a comprehensive framework of material sustainability criteria in the exchange industry for integration into strategies, performance measurement, evaluation and reporting. In order to identify material sustainability criteria in the Iranian exchange industry, the findings of Ahmadi et al research (1401) which include 33 criteria and 352 sub-criteria have been used as a basis. In order to formulate a local framework, the participation of 21 industry experts was used to modify the criteria identified in the Ahmadi et al, according to the culture of Iran. Finally, after finalizing sustainability framework of the Iranian exchange industry, in order to evaluate materiality and prioritize the main criteria, the Fuzzy AHP method has been used. Considering the extensive effects of exchanges from the perspective of financing economic enterprises and the government (through transaction fee tax and issuing bonds), the findings of this study indicate the priority of economic dimension over other sustainability dimensions. Macroeconomics, government and other regulators and trust and confidence have the greatest relative importance among all other criteria. On the other hand, due to the low emissions of exchanges, the relative importance of environment dimension criteria is less than other dimensions in the industry. [ABSTRACT FROM AUTHOR]

Their study introduces a three stage DEA framework that employs random forest as a powerful ensemble method for variable selection to search most influential environmental variables. In management, economics and finance, regression analysis is largely used. It applies earnings management-based models, based on financial ratios and earnings management variables, to a sample of 6000 French small and medium-size enterprises, then compares the classification rates obtained by these models with a model based solely on financial ratios. This approach combines the standard quantile regression analysis with nonparametric estimations and allows examining how different quantiles of natural disasters affect different quantiles of GDP growth. [Extracted from the article]

This study analyses the implications of Jeffery–Lindley's paradox and Global Financial Crisis (GFC) for the operational aspect of macroeconomic policy coordination for financial stability. Using a Bayesian Vector Auto-regressive model and data from Jan 1985 to June 2016, our key findings suggest that the claim of macroeconomic policy interaction, interdependence and significance of coordinated policy operations for the financial stability holds its ground. The argument in the support for policy coordination for financial stability was found to be robust against the Jeffreys–Lindley's paradox and in the Post-GFC era. A profound practical, operational and philosophical implication of this study is the positive aspects of Jeffreys–Lindley's paradox and the possibility of employing the Frequentist and Bayesian estimation techniques as complementing rather competing frameworks. [ABSTRACT FROM AUTHOR]

This study focused on scrutinizing the influence of Enterprises Risk Management (ERM) on firm performance with a mediating role of Business Model Innovation (BMI). For the purpose, data from 228 Jordanian firms was collected and analyzed. The results indicated that the ERM practices have a significant influence on BMI and financial firm's performance. The BMI significantly contributed to the financial and nonfinancial performance, whereas it displayed insignificant effects regarding environmental performance. The BMI fully mediated the relationship between ERM practices and financial performance, where a partial mediating effect was observed for the path between ERM practices and nonfinancial performance, while showed no mediating role between the ERM practices and environmental performance. Economies of countries like Jordan are hereby urged to implement the formal ERM practices and to financially educate their top management teams to apply the BMI to gain first-rate performance. This study also encourages the researchers from other countries to extend this model to their economies to unleash useful insights. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekonomik Yorumlar is the property of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekomomik Yorumlar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study derives an optimal macroeconomic policy combination for financial sector stability in the United Kingdom by employing a New Keynesian Dynamic Stochastic General Equilibrium (NK-DSGE) framework. The empirical results obtained show that disciplined fiscal and accommodative monetary policies stance is optimal for financial sector stability. Furthermore, fiscal indiscipline countered by contractionary monetary stance adversely affects financial sector stability. Financial markets, e.g. stocks and Gilts show a short-term asymmetric response to macroeconomic policy interaction and to each other. The asymmetry is a reflection of portfolio adjustment. However in the long-run, the responses to suggested optimal policy combination had homogenous effects and there was evidence of co-movement in the stock and Gilt markets. [ABSTRACT FROM AUTHOR]