Academic literature on the topic 'Weekly financial statistics'
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Journal articles on the topic "Weekly financial statistics"
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Adnan Fendi, Usama, Asem Tahtamouni, Yaser Jalghoum, and Suleiman Jamal Mohammad. "The study of bubbles in bitcoin behavior." Banks and Bank Systems 14, no. 4 (December 13, 2019): 133–42. http://dx.doi.org/10.21511/bbs.14(4).2019.13.
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Bitcoin is an online communication system that facilitates the use of virtual currency, including electronic payments. This paper aims at analyzing the behavior of Bitcoin returns as a proposal for future currencies while making a comparison between Bitcoin and other conventional currencies. This paper uses quantitative approach to analyze the time series of Bitcoin and that of other conventional currencies during the period 2010–2018. It uses 1) a descriptive statistics for the weekly returns for Bitcoin which includes the mean, standard deviation, maximum value, minimum value, skewness, kurtosis, and Jarque-Bera normal distribution test statistics, and 2) duration dependence test on Bitcoin weekly returns by extracting the weekly returns for the Bitcoin that behave in irregular way of the general Bitcoin return level through autocorrelation regression, and taking the residuals for this regression as a time series for irregular returns.This paper has confirmed no empirical evidence for the existence of a speculative bubble in the Bitcoin values and returns. In addressing the question of whether Bitcoin can act as a reliable substitute for conventional currencies, the returns based analysis shows a huge difference between the behavior of Bitcoin returns from conventional currency returns when comparing both aspects of level and stability. The paper concluded that bitcoin is more an investment than a currency. This paper represents a significant contribution in the path of financial economics and financial risk management, and represents a contribution to the stability of the financial system around the world and mitigating financial crises.
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Handley, Nathan, Kuang-Yi Wen, Sameh Gomaa, Kelly Jean Brassil, Lindsey Jackson, and Adam P. Dicker. "Exploring the role of digital health coaching for men with prostate cancer." Journal of Clinical Oncology 39, no. 15_suppl (May 20, 2021): TPS1586. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.tps1586.
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TPS1586 Background: Toxicity leading to impaired quality of life is common among men receiving treatment for Prostate Cancer (PCa). Digital interventions may be beneficial in enhancing health self-efficacy in managing symptom burden. This study evaluates the feasibility and preliminary outcomes of digital health coaching intervention on men with PCa. Methods: This pilot study aims to recruit up to 100 adult, English-speaking men with PCa who in the last 2 years have required active treatment, defined as cancer management via active surveillance, surgery, radiation, androgen deprivation, chemotherapy, hormonal therapy, immunotherapy or a combination of these modalities. Men will be enrolled across the catchment area of Jefferson Health using social media and a variety of other outreach tools approved by the Institutional Review Board. Consented patients are enrolled in a 3-month digital health coaching program which combines weekly calls with up to 4 nudges of evidence-based content delivered via text or email weekly. The program focuses on a weekly health topic, such as physical, mental, social, or financial health, and managing symptoms, and empowers participants to set health goals of importance to them. Primary endpoints include feasibility, defined as 60% of participants completing the 3-month program. The main secondary endpoints measured are health self-efficacy as measured by the Cancer Behavior Inventory-Brief (CBI-B), quality of life, as measured by the Expanded Prostate Cancer Index Composite for Clinical Practice (EPIC-CP), financial toxicity as measured by the Comprehensive Score of Financial Toxicity (COST) and physical and mental health as measured by the Patient Reported Outcomes Measurement Information System-Global Health 10 (PROMIS-10). Outcomes are captured on enrollment and monthly through program completion for a total of 4 data points. Summary statistics will be used to describe patient demographic and clinical characteristics of the study population. Summary statistics will also be used to describe CBI, EPIC-CP, PROMIS and COST by assessment time. The change in CBI-B scores from baseline to 3 months will be calculated along with 95% confidence intervals. Additional LMMs will be created to assess the relationship between self-efficacy (CBI) and quality of life (EPIC-CP), financial toxicity (COST) and global health (PROMIS- SF10).
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Ashraf, Nazia, Mudassar Yasin, Ghulam Farid, Shahbaz Ahmad, and Muhammad Tanveer Khaliq. "The Impact of Socio-economic Characteristics of School Teachers on their Job Performance." Journal of Economic Impact 1, no. 2 (May 2, 2019): 59–63. http://dx.doi.org/10.52223/jei0102194.
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The study underhand is aimed to estimate the impact of socioeconomic characteristics of school teachers on their job performance. The data were collected by using well-structured and pre-tested questionnaire. A sample of 200 respondents from ESTs elementary school female teachers were selected through simple random sampling technique from tehsil Vehari. Descriptive statistics i.e. frequency, percentage and mean values were used to analyze the data. The results showed that the teacher performance was depending on many factors i.e. free accommodation, weekly duty allowances, advance payment from the school in case of financial problem, provision of prizes, provision of free medical care and a satisfactory standard of living. The result also showed that the salary and financial benefits have high impact on teachers’ performance. The results also found significant impact of socioeconomic characteristics on teacher’s performance
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Mudahogora, Edmond Kazungu, and Denis Ndanguza. "Modeling the Rwanda Exchange Rates by GARCH Models." African Journal of Applied Statistics 8, no. 1 (January 1, 2021): 1525–44. http://dx.doi.org/10.16929/ajas/2021.1525.261.
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Volatility modeling and forecasts are essential tools to all financial sectors. This paper focuses on weekly exchange rate returns of the FRW versus USD from 2012 until 2018 obtained from the National Bank of Rwanda. The aim of this paper is to formulate an appropriate GARCH model which fits the data. The GARCH(1,1) model has been selected after using required techniques of model selection.Parameters have been estimated using Least Squares method first and then validated using MCMC method. Once the chain of parameters are found, both visual inspection and basic statistics are computed and in this study, they have illustrated a good compatibility between simulation and observations. Diagnostic of convergence of the chains of parameters has been checked and ensured the model to beaccurate. The results obtained from the LSQ and MCMC methods have been compared and found to be almost similar. An agreement between the model solution and actual data is obtained and a forecast is done by concluding that the estimated values are almost similar to the real data. Hence, the identified model is accepted for forecasting and recommended for further applications.
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Ai-Jalodi, Omar, Matthew Sabo, Keyur Patel, Neal Bullock, Laura Serena, Kristy Breisinger, and Thomas E. Serena. "Efficacy and safety of a porcine peritoneum-derived matrix in diabetic foot ulcer treatment: a pilot study." Journal of Wound Care 30, Sup2 (February 1, 2021): S18—S23. http://dx.doi.org/10.12968/jowc.2021.30.sup2.s18.
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Objective: A third of people with diabetes will develop a foot ulcer during their lifetime. The absence of pain secondary to neuropathy often leads to a delay in diagnosis and treatment. Diabetic foot ulcer (DFU) complications, such as infection and amputation, increase mortality and strain the financial resources of health systems across the world. Cellular and/or tissue products (CTPs) have played an important role in the closure of DFUs. Investigators continue to search for new CTPs that facilitate healing. The aim of this study was to assess the efficacy and safety of a porcine peritoneum-derived matrix in DFU treatment. Method: Patients with longstanding DFUs participated in this institutional review board-approved, multicentre, prospective pilot study evaluating the time to healing over 12 weeks. In addition to weekly assessments for wound size, investigators analysed bacterial burden using the MolecuLight procedure (MLiX) and bacterial protease (BPA) testing. Participants received a weekly application of Meso Wound Matrix Scaffold (MWM), a lyophilised porcine peritoneum-derived matrix (DSM Biomedical Inc., Exton, PA, US) for up to eight weeks. Descriptive statistics were chosen for this analysis. Results: A total of 12 male patients and three female patients with an average age of 57 years were enrolled over a two-month period. The average wound duration was 30 weeks. Due to unrelated health issues, four participants were withdrawn. For the study endpoint of complete wound closure at 12 weeks, six (55%) of the remaining 11 patients achieved complete closure, and four (36%) patients healed during the 8-week treatment period. The average number of CTP applications was six. Patients who healed all had negative BPA by nine weeks and no fluorescence on MLiX, indicating low bacterial load. Conclusion: This small pilot study indicates that patients with longstanding DFUs may respond to a porcine peritoneal-derived CTP. In this study, the CTP appears to have inhibited bacterial growth in the wound; however, further research is needed.
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Chikezie, C., A. Henri-Ukoha, O. B. Ibeagwa, E. U. Nwachukwu, and B. C. Onuoha. "Consumption of liquefied petroleum gas and its determinants: A prospect for indiscriminate tree harvesting in Imo State, Nigeria." Journal of Agriculture and Food Sciences 18, no. 1 (August 17, 2020): 93–104. http://dx.doi.org/10.4314/jafs.v18i1.9.
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The study analysed the consumption of liquefied petroleum gas and its determinants as a prospect for indiscriminate tree harvesting in Imo State, Nigeria. A total number of 96 questionnaires were distributed but only 90 of them were returned. Data collected were analysed using both descriptive and inferential statistics. Result shows that the weekly fuel wood and liquefied petroleum gas consumed by the households in the study area were 514.326MJ (37.27KG) and 65.92MJ (1.43KG) respectively. The result also identified indoor pollution, eye defect and loss of biodiversity with weighted means of 2.64, 3.00 and 2.67 respectively as very serious problems of fuel wood use. Result showed that clean fuels (as well as afforestation), ethanol cook stove, crop residue/animal dung and solar/water energy sources which ranked 1st, 2nd, 3rd and 4th respectively were the major prospects for indiscriminate tree harvesting in the study area. Results also indicated that at 1% levels of significance, price of liquefied petroleum gas, price of kerosene, household expenditure, household size and number of times electricity was available per month were the majordeterminants of liquefied petroleum gas consumption in the study areas. Given the urgency of the clean energy access, the paper recommends that relevant stakeholders should prioritize efforts and financial supports geared toward the alleviation of the problems of indiscriminate tree harvesting. It also advocates for LPG subsidization to encourage more users of the fuel.
Keywords: Indiscriminate wood harvesting, loss of bio-diversity, clean energy
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Walker, Gary V., Shervin M. Shirvani, Yerko Borghero, Matthew D. Callister, Daniel D. Chamberlain, Emily J. Grade, Mohamed K. Khan, et al. "Palliation or Prolongation? The Impact of a Peer-Review Intervention on Shortening Radiotherapy Schedules for Bone Metastases." Journal of Oncology Practice 14, no. 8 (August 2018): e513-e516. http://dx.doi.org/10.1200/jop.18.00042.
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Purpose: Shorter fractionation radiation regimens for palliation of bone metastases result in lower financial and social costs for patients and their caregivers and have similar efficacy as longer fractionation schedules, although practice patterns in the United States show poor adoption. We investigated whether prospective peer review can increase use of shorter fractionation schedules. Methods: In June 2016, our practice mandated peer review of total dose and fractionation for all patients receiving palliative treatment during our weekly chart rounds. We used descriptive statistics and Fisher’s exact test to compare lengths of treatment of uncomplicated bone metastases before and after implementation of the peer review process. Results: Between July 2015 and December 2016, a total of 242 palliative treatment courses were delivered, including 105 courses before the peer review intervention and 137 after the intervention. We observed greater adoption of shorter fractionation regimens after the intervention. The use of 8 Gy in one fraction increased from 2.8% to 13.9% of cases postadoption. Likewise, the use of 20 Gy in five fractions increased from 25.7% to 32.8%. The use of 30 Gy in 10 fractions decreased from 55.2% to 47.4% ( P = .002), and the use of ≥ 11 fractions decreased from 16.2% before the intervention to 5.8% after ( P = .006). Conclusion: Prospective peer review of palliative regimens for bone metastases can lead to greater adoption of shorter palliative fractionation schedules in daily practice, in accordance with national guidelines. This simple intervention may therefore benefit patients and their caregivers as well as provide value to the health care system.
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Esposito, Michelle Marie, and Anna King. "New York City: COVID-19 quarantine and crime." Journal of Criminal Psychology 11, no. 3 (May 18, 2021): 203–21. http://dx.doi.org/10.1108/jcp-10-2020-0046.
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Purpose In early 2020, the world faced a rapid life-changing pandemic in the form of the Coronavirus Disease of 2019 (COVID-19) crisis. Citywide lockdowns with stay-at-home orders and mass closings quickly became the “new normal.” With these new mandates, routine activity, mental health and financial securities all began to experience major deviations, and it became clear that this could prove to be rather valuable in providing the opportunity for large-scale criminology experiments. This study aims to explore New York City's (NYC) crime patterns during this unique social situation. Specifically, has crime as a whole increased or decreased, and have particular crimes increased or decreased during these stressful fluid times? Design/methodology/approach The authors briefly review previous crises and worldwide trends but focus on NYC crime as collected by the New York Police Department's statistics unit, “CompStat.” An analysis of 13 crime types from March 30 to July 5 was completed, including percent differences and individual weekly incidence rates in citywide crimes compared to the same time in 2019. Findings The analysis demonstrated that all crimes analyzed, except for murder and burglary, exhibited a statistically significant difference during COVID-19 conditions compared to the same time the previous year. Grand larceny auto and gun violence crimes significantly increased during COVID-19 weeks, whereas rape, other sex crimes, robbery, felony assault, grand larceny, transit, housing, misdemeanor assault and petit larceny all significantly decreased. Originality/value Due to the ongoing nature of the pandemic, this is amongst the first studies to examine trends in NYC crime during pandemic mandates. Expanding our knowledge in these situations can inform natural disaster responses, as well as criminal justice policy and practice to better protect the public in future crises.
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Van de Winckel, Ann, Tanjila Nawshin, and Casey Byron. "Combining a Hudl App With Telehealth to Increase Home Exercise Program Adherence in People With Chronic Diseases Experiencing Financial Distress: Randomized Controlled Trial." JMIR Formative Research 5, no. 3 (March 18, 2021): e22659. http://dx.doi.org/10.2196/22659.
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Background Patients with chronic diseases often need to adhere to long-term individualized home exercise programs (HEPs). Limited adherence to long-term exercise given during physical therapy (PT) visits reduces the capacity of exercise to manage or improve symptoms related to chronic disease. In addition, a lower socioeconomic status negatively impacts exercise adherence. To mitigate this, apps that motivate people to exercise could be a viable option. Using an app through telehealth may help adults with chronic diseases to achieve long-term HEP adherence. However, because apps for rehabilitation are an emerging field, the feasibility of the app needs to be evaluated. Objective To address HEP adherence in participants with chronic diseases who are experiencing financial distress, we aim to evaluate the feasibility of and satisfaction with the Hudl Technique app and telehealth and satisfaction with PT care and to monitor HEP adherence and compliance (ie, percentage of participant-recorded videos sent) in participants using the app with telehealth compared with those using standard HEPs on paper. Methods We recruited patients scheduled for outpatient PT. We performed a randomized controlled trial in which the experimental group received weekly HEP demonstrations through app videos on a tablet with feedback on their self-recorded HEP video performance from the telehealth physical therapist. The control group received HEPs on paper without feedback, as is customary in PT practice. Demographic, clinical, and health coverage information was collected for screening and baseline measurements. Adherence and compliance were evaluated. Both groups completed surveys at 8 and 24 weeks on their satisfaction with PT care, and the experimental group also completed a survey on their satisfaction with the app with telehealth use. Descriptive and nonparametric statistics were used for within-group and between-group comparisons and analyzed with JMP, version 13. Results Overall, 45 adults with chronic diseases who were experiencing financial distress were randomized into experimental (23/45, 51%) and control (22/45, 49%) groups, with 74% (17/23) and 86% (19/22) participants completing the 24-week HEP, respectively. The experimental group had an HEP adherence frequency of 4 (SD 2) to 5 (SD 2) times per week at 8 and 24 weeks (P=.14), whereas HEP adherence decreased in the control group from 4 (SD 2) to 3 (SD 2) times per week (P=.07), with a significant difference (P=.01) between groups at 24 weeks. Of the total participants, 68% (15/22) sent videos. They sent 68% (16/24) of the requested number of videos on average. The average score for PT care satisfaction was maintained at 87% in the experimental group (P=.99), whereas it decreased from 89% at 8 weeks to 74% at 24 weeks (P=.008) in the control group. App-related adverse events were not observed. Conclusions The Hudl app/telehealth platform is feasible for delivering HEPs and maintaining HEP adherence in participants with chronic diseases who are experiencing financial distress. Trial Registration ClinicalTrials.gov NCT02659280; https://clinicaltrials.gov/ct2/show/NCT02659280
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Lee, Cheng-Wen, and Dolgion Gankhuyag. "Portfolio Optimization in Post Financial Crisis of 2008-2009 in the Mongolian Stock Exchange." Jurnal METRIS 21, no. 01 (June 1, 2020): 47–58. http://dx.doi.org/10.25170/metris.v21i01.2432.
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In this study, we present the Mongolian stock market’s performance post phenomenal financial crisis of 2008-2009, opportunities to invest and the risks problems. For analysis of the study, we used financial portfolio optimization models with restricted structure, mathematical statistic methods and financial methods. First, we considered about portfolio optimization in the Mongolian Stock Exchange using Markowitz’s modern portfolio theory and Telser’s safety first model. We used MSE weekly trading data chosen 50 most traded stocks out of 237 stocks listed at the MSE between 2009 and 2013. We generated 50 weeks mean-variance portfolio and safety first portfolio for 2014 and discussed. We considered weekly investment in the MSE using mean-variance portfolio andsafety first portfolio. The mean-variance portfolio has the best performance of weekly portfolio return with average weekly return and cumulative return. We found stable portfolio against investing risk and did back-test the result. For prospect investors in the MSE, we suggest invest and earn high return in the MSE.
Books on the topic "Weekly financial statistics"
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Peter, Martin. Inside the Bank of Canada's Weekly financial statistics: A technical guide. Vancouver, B.C., Canada: Fraser Institute, 1985.
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Inside the Bank of Canada's weekly financial statistics: A technical guide. 2nd ed. Vancouver, B.C: Fraser Institute, 1989.
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Baldwin, Peter. The Narcissism of Minor Differences. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780195391206.001.0001.
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There is much heated rhetoric about the widening gulf between Europe and America. But are the US and Europe so different? Peter Baldwin, one of the world's leading historians of comparative social policy, thinks not, and in this bracingly argued but remarkably informed polemic, he lays out how similar the two continents really are. Drawing on the latest evidence from sources such as the United Nations, the World Bank, IMF, and other international organizations, Baldwin offers a fascinating comparison of the United States and Europe, looking at the latest statistics on the economy, crime, health care, education and culture, religion, the environment, and much more. It is a book filled with surprising revelations. For most categories of crime, for instance, America is safe and peaceful by European standards. But the biggest surprise is that, though there are many differences between America and Europe, in almost all cases, these differences are no greater than the differences among European nations. Europe and the US are, in fact, part of a common, big-tent grouping. America is not Sweden, for sure. But nor is Italy Sweden, nor France, nor even Germany. And who says that Sweden is Europe? Anymore than Vermont is America? "Meticulous, insistent, and elegant." --John Lloyd, Financial Times "A must-read...filled with intriguing facts that add nuance to what can often be a black-and-white debate." --Foreign Affairs "An exhaustive and enthralling catalogue of our commonalities that begs a reconsideration of just what it means to be European or American." --Publishers Weekly
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Makatjane, Katleho, and Roscoe van Wyk. Identifying structural changes in the exchange rates of South Africa as a regime-switching process. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/919-8.
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Exchange rate volatility is said to exemplify the economic health of a country. Exchange rate break points (known as structural breaks) have a momentous impact on the macroeconomy of a country. Nonetheless, this country study makes use of both unsupervised and supervised machine learning algorithms to classify structural changes as regime shifts in real exchange rates in South Africa. Weekly data for the period January 2003–June 2020 are used. To these data we apply both non-linear principal component analysis and Markov-switching generalized autoregressive conditional heteroscedasticity. The former approach is used to reduce the dimensionality of the data using an orthogonal linear transformation by preserving the statistical variance of the data, with the proviso that a new trait is non-linearly independent, and it identifies the number of regime switches that are to be used in the Markov-switching model. The latter is used to partition the variance in each regime by allowing an estimation of multiple break transitions. The transition breakpoints estimates derived from this machine learning approach produce results that are comparable to other methods on similar system sizes. Application of these methods shows that the machine learning approach can also be employed to identify structural changes as a regime-switching process. During times of financial crisis, the growing concern over exchange rate volatility, including its adverse effects on employment and growth, broadens the debates on exchange rate policies. Our results should help the South African monetary policy committee to anticipate when exchange rates will pick up and be prepared for the effects of periods of high exchange rates.
Book chapters on the topic "Weekly financial statistics"
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Meslie, Yibeltal, Wegayehu Enbeyle, Binay Kumar Pandey, Sabyasachi Pramanik, Digvijay Pandey, Pankaj Dadeech, Assaye Belay, and Ashwini Saini. "Machine Intelligence-Based Trend Analysis of COVID-19 for Total Daily Confirmed Cases in Asia and Africa." In Methodologies and Applications of Computational Statistics for Machine Intelligence, 164–85. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7701-1.ch009.
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COVID-19 is likely to pose a significant threat to healthcare, especially for disadvantaged populations due to the inadequate condition of public health services with people's lack of financial ways to obtain healthcare. The primary intention of such research was to investigate trend analysis for total daily confirmed cases with new corona virus (i.e., COVID-19) in the countries of Africa and Asia. The study utilized the daily recorded time series observed for two weeks (52 observations) in which the data is obtained from the world health organization (WHO) and world meter website. Univariate ARIMA models were employed. STATA 14.2 and Minitab 14 statistical software were used for the analysis at 5% significance level for testing hypothesis. Throughout time frame studied, because all four series are non-stationary at level, they became static after the first variation. The result revealed the appropriate time series model (ARIMA) for Ethiopia, Pakistan, India, and Nigeria were Moving Average order 2, ARIMA(1, 1, 1), ARIMA(2, 1, 1), and ARIMA (1, 1, 2), respectively.
Conference papers on the topic "Weekly financial statistics"
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Heliodoro, Paula, Rui Dias, Paulo Alexandre, and Cristina Vasco. "INTEGRATION IN BRIC STOCK MARKETS: AN EMPIRICAL ANALYSIS." In 4th International Scientific Conference – EMAN 2020 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/eman.s.p.2020.33.
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This paper aims to analyse financial integration in the markets of Brazil, China, India and Russia (BRIC’s), from July 2015 to June 2020, being the sample split in pre and during the global pandemic (Covid-19). In order to carry out this analysis, different approaches were undertaken to analyse two issues, namely, whether: (i) the global pandemic has accentuated the interdependencies in the BRIC financial markets? If so, how it has influenced the efficiency of portfolio diversification. The results suggest very significant levels of integration, in the Covid period these evidences diminish the chances of portfolio diversification in the long term. In turn, the analysis of the relationship between markets, in the short term, through the impulse response functions, in a period of global pandemic, shows positive/negative movements, with statistical significance, with persistence exceeding one week. In addition, there was no immediate adjustment in prices between markets, due to the high levels of shocks identified. Regarding the implementation of efficient portfolio diversification strategies, we consider that a good option for investors would be to avoid investments in stock markets. In this sense, one suggestion could be to invest in derivatives, gold and sovereign debt markets, with the purpose of diversifying portfolios and mitigating the risk arising from the global pandemic. The authors consider that the results achieved are of interest to investors seeking opportunities in these exchanges, as well as to policy makers to undertake institutional reforms in order to increase the efficiency of stock markets and promote the sustainable growth of financial markets.