This paper studies the association between price of crude oil and the Pakistani Rupee-US Dollar exchange. Asymmetric power autoregressive conditional heteroscedastic (APARCH) model is used to measure the influence of oil price on the nominal exchange rate using daily data of extreme oil price volatility (2006 – 2013). This model is found to fit the data well and the results reveal a high degree of volatility persistence and leverage effect in returns. This study also establishes a positive association between currency exchange rate and oil price. These findings provide insight into the transmission link between the global oil market and exchange rate.
{"title":"Crude oil price-exchange rate nexus in Pakistan","authors":"F. Iqbal, A. Raziq","doi":"10.24294/FSJ.V0I0.738","DOIUrl":"https://doi.org/10.24294/FSJ.V0I0.738","url":null,"abstract":"This paper studies the association between price of crude oil and the Pakistani Rupee-US Dollar exchange. Asymmetric power autoregressive conditional heteroscedastic (APARCH) model is used to measure the influence of oil price on the nominal exchange rate using daily data of extreme oil price volatility (2006 – 2013). This model is found to fit the data well and the results reveal a high degree of volatility persistence and leverage effect in returns. This study also establishes a positive association between currency exchange rate and oil price. These findings provide insight into the transmission link between the global oil market and exchange rate.","PeriodicalId":447992,"journal":{"name":"Financial Statistical Journal","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123553838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Breast cancer patients experience a variety of psychological symptoms such as anxiety, depression that affect their quality of life. The present study probed whether the socioeconomic status had any significance on psychological distress and quality of life of breast cancer patients in India. Method: This was a cross-sectional and observational study, conducted over 111 breast cancer patients in a tertiary cancer hospital, Kolkata. Subjects were eligible to participate and they were of over 23rd years of age and had a histologically confirmed diagnosis of breast cancer had no history of recurrence or metastasis, and had no previous psychological problems. Age, marital status, residence, education, occupation and family income were assesses for patients’ socio economic status. Psychological symptoms and quality of life were assessed by using validated tools. Means and standard deviations of each outcome were compared by socioeconomic status and multivariate linear regression models for evaluating the association between socioeconomic status, psychological distress and quality of lifeResults: The patient group was categorized into three groups based on their income level as follows: ≤500=27.9%), 500-1000=51.4% and high income = ≥1000=20.7%. A total of 111 breast cancer patients participated in the study; the mean age of participants was 49.7 (SE=1.31). After using multivariate logistic regression with fully adjusted models, the patients who were living alone had significantly higher level of depression and poor quality of life compared to those who are employed. Higher education and family income both positively associated with quality of life after adjusting for age, marital status and occupation. Conclusion: The findings revealed that the family income have a significant impact on the psychological distress of the cancer patients.
{"title":"The Impact of Socioeconomic Status on the Psychological Distress of Breast Cancer Patients in Kolkata\"","authors":"A. Datta, Rimi Sharma","doi":"10.24294/FSJ.V1I3.609","DOIUrl":"https://doi.org/10.24294/FSJ.V1I3.609","url":null,"abstract":"Background: Breast cancer patients experience a variety of psychological symptoms such as anxiety, depression that affect their quality of life. The present study probed whether the socioeconomic status had any significance on psychological distress and quality of life of breast cancer patients in India. Method: This was a cross-sectional and observational study, conducted over 111 breast cancer patients in a tertiary cancer hospital, Kolkata. Subjects were eligible to participate and they were of over 23rd years of age and had a histologically confirmed diagnosis of breast cancer had no history of recurrence or metastasis, and had no previous psychological problems. Age, marital status, residence, education, occupation and family income were assesses for patients’ socio economic status. Psychological symptoms and quality of life were assessed by using validated tools. Means and standard deviations of each outcome were compared by socioeconomic status and multivariate linear regression models for evaluating the association between socioeconomic status, psychological distress and quality of lifeResults: The patient group was categorized into three groups based on their income level as follows: ≤500=27.9%), 500-1000=51.4% and high income = ≥1000=20.7%. A total of 111 breast cancer patients participated in the study; the mean age of participants was 49.7 (SE=1.31). After using multivariate logistic regression with fully adjusted models, the patients who were living alone had significantly higher level of depression and poor quality of life compared to those who are employed. Higher education and family income both positively associated with quality of life after adjusting for age, marital status and occupation. Conclusion: The findings revealed that the family income have a significant impact on the psychological distress of the cancer patients.","PeriodicalId":447992,"journal":{"name":"Financial Statistical Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128857730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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