scholarly journals An Analysis of Cross-sectional Investment Portfolio with the Consideration of Risk and Return

2021 ◽  
Vol 235 ◽  
pp. 01036
Author(s):  
Jingzheng Luo ◽  
Jiasheng Guo ◽  
Hui Li
Keyword(s):  
Service Industry ◽  
Investment Portfolio ◽  
Cross Sectional ◽  
Variance Model ◽  
Car Industry ◽  
The Us ◽  
Trade War ◽  
Rational Investment ◽  
The Impact ◽  
Mean Variance

Recently, investors are requiring diversified options on the security investment, while the sudden incidents, such as the trade war and the pandemic of COVID-19, make the investment market more volatile and turbulent. Thus, this article will discuss how investors can make rational investment decisions by using the Markowitz’s portfolio theory and its Mean-Variance Model in the U.S. investment market, in order to meet the requirement of diversification and to earn relatively stable profit. Therefore, the data spanning from 2016 to 2020 is used to provide investors with more reliable and comprehensive investment information. Meanwhile, a novel cross-section portfolio is given to fulfill the diversified and innovative investment needs of investors. The industries included are car industry, biopharmaceutical industry and financial service industry. Furthermore, the results reflect the actual situation to a large extent, including the weakness in the US market in December 2018 due to uncertain Fed policy and the impact of the COVID-19 in 2020. In this article, an Intra-Industry analysis based on the net asset values of the three targeted industries will be carried out first, then the Macro analysis will be conducted based on the optimal portfolio of the three industries. A conclusion of the findings is included at the end of the article.

scholarly journals Multi-time state mean-variance model in continuous time

2021 ◽  
Vol 27 ◽  
pp. 92
Author(s):  
Shuzhen Yang
Keyword(s):  
Boundary Conditions ◽  
Continuous Time ◽  
Optimal Strategy ◽  
Investment Portfolio ◽  
Variance Model ◽  
Investment Plan ◽  
Terminal Time ◽  
Variance Risk ◽  
Maximum Drawdown ◽  
Mean Variance

The objective of the continuous time mean-variance model is to minimize the variance (risk) of an investment portfolio with a given mean at the terminal time. However, the investor can stop the investment plan at any time before the terminal time. To solve this problem, we consider to minimize the variances of the investment portfolio in the multi-time state. The advantage of this multi-time state mean-variance model is the minimization of the risk of the investment portfolio within the investment period. To obtain the optimal strategy of the model, we introduce a sequence of Riccati equations, which are connected by jump boundary conditions. In addition, we establish the relationships between the means and variances in the multi-time state mean-variance model. Furthermore, we use an example to verify that the variances of the multi-time state can affect the average of Maximum-Drawdown of the investment portfolio.

scholarly journals Regional Innovation Systems of Medical Technology

REGION ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 57-81
Author(s):  
Rucha Vadia ◽  
Katharina Blankart
Keyword(s):  
Knowledge Production ◽  
Spillover Effects ◽  
External Funding ◽  
Regional Innovation ◽  
Cross Sectional ◽  
Horizon 2020 ◽  
Product Categories ◽  
The Us ◽  
Number Of Publications ◽  
The Impact

We investigated the role of external funding in cardiovascular device innovation across 31 countries in Europe. We rely on the knowledge production function (KPF) framework that establishes the knowledge output of a region as a function of innovatory effort and other characteristics of that region. In a cross-sectional analysis, we investigated regional variation in knowledge production by the number of publications in cardiovascular device research obtained from the bibliometric data of the world’s largest biomedical library, the US National Library of Medicine, 2014‒2017. We mapped these publications to product categories of medical devices approved for cardiovascular diseases by the US Food and Drug Administration. Considering spatial correlation across regions of Europe in our estimates of the KPF, we investigated the impact of two types of funding mechanisms: grants reported in the publications and the volume of European Union Horizon 2020 funding received by the innovating regions. We obtained 123,487 cardiovascular device-related publications distributed across 1,051 (75% of total) regions (NUTS-3 level). Receiving external funding strongly contributes to a region’s knowledge output. The estimated elasticities of innovatory effort range between 0.51 and 0.64. These estimates were consistently larger than the elasticities of other characteristics in the region measured by gross domestic product (0.14‒0.56). We also documented spillover effects from neighboring regions when the funding was measured by the grants reported in the publications, concluding that innovatory efforts in the form of external research investments are effective for promoting innovation in the medical device industry at the regional level.

Indication-Specific Generic Uptake of Imatinib Demonstrates the Impact of Skinny Labeling

2022 ◽  
Author(s):  
Bryan S. Walsh ◽  
Aaron S. Kesselheim ◽  
Ameet Sarpatwari ◽  
Benjamin N. Rome
Keyword(s):  
Patent Protection ◽  
Cross Sectional Study ◽  
Myelogenous Leukemia ◽  
Brand Name ◽  
Generic Competition ◽  
Cross Sectional ◽  
The Us ◽  
Lower Drug ◽  
The Impact ◽  
Brand Name Drugs

PURPOSE Generic competition can be delayed if brand-name manufacturers obtain additional patents on supplemental uses. The US Food and Drug Administration allows generic drug manufacturers to market versions with skinny labels that exclude patent-protected indications. This study assessed whether use of generic versions of imatinib varied between indications included and excluded from the skinny labels. METHODS In this cross-sectional study, we identified adult patients covered by commercial insurance or Medicare Advantage plans who initiated imatinib from February 2016 (first generic availability) to September 2020. Generic versions were introduced with skinny labels that included indications covering treatment of chronic myelogenous leukemia (CML) but excluded treatment of gastrointestinal stromal tumors (GISTs) because of remaining patent protections. Logistic regression was used to determine whether use of generic versus brand-name imatinib differed between patients with a diagnosis of CML or GIST, adjusting for demographics, insurance type, prior use of brand-name drugs, and calendar month. RESULTS Among 2,000 initiators, 934 (47%) had CML and 686 (34%) had GIST. Within 3 years after generics entered the market, more than 90% of initiators in both groups used generic imatinib. Initiation of generic imatinib was slightly lower among patients with GIST than among patients with CML (85% v 88%; adjusted odds ratio 0.56; 95% CI, 0.39 to 0.80; P ≤ .001). CONCLUSION Generic versions of imatinib were dispensed frequently for indications both included (CML) and excluded (GIST) from the skinny labeling, although patients with GIST were slightly less likely to receive a generic version. The skinny labeling pathway allowed generics to enter the market before patent protection for treating patients with GIST expired, facilitating lower drug prices.

Optimal selection of financial risk investment portfolio based on random matrix method

2020 ◽  
Vol 20 (3) ◽  
pp. 859-868
Author(s):  
Jie Tian ◽  
Kun Zhao
Keyword(s):  
Covariance Matrix ◽  
Random Matrix ◽  
Financial Risk ◽  
Good Effect ◽  
Investment Portfolio ◽  
Variance Model ◽  
Minimum Risk ◽  
The Mean ◽  
Risk Investment ◽  
Mean Variance

The optimization of investment portfolio is the key to financial risk investment. In this study, the investment portfolio was optimized by removing the noise of covariance matrix in the mean-variance model. Firstly, the mean-variance model and noise in covariance matrix were briefly introduced. Then, the correlation matrix was denoised by KR method (Sharifi S, Grane M, Shamaie A) from random matrix theory (RMT). Then, an example was given to analyze the application of the method in financial stock investment portfolio. It was found that the stability of the matrix was improved and the minimum risk was reduced after denoising. The study of minimum risk under different M values and stock number suggested that calculating the optimal value of M and stock number based on RMT could achieve optimal financial risk investment portfolio result. It shows that RMT has a good effect on portfolio optimization and is worth promoting widely.

scholarly journals Declining mental health among disadvantaged Americans

2018 ◽  
Vol 115 (28) ◽  
pp. 7290-7295 ◽  
Author(s):  
Noreen Goldman ◽  
Dana A. Glei ◽  
Maxine Weinstein
Keyword(s):  
Mental Health ◽  
Psychological Health ◽  
Positive Emotions ◽  
Well Being ◽  
The United States ◽  
Opioid Epidemic ◽  
Cross Sectional ◽  
Modest Improvement ◽  
The Us ◽  
The Impact

Although there is little dispute about the impact of the US opioid epidemic on recent mortality, there is less consensus about whether trends reflect increasing despair among American adults. The issue is complicated by the absence of established scales or definitions of despair as well as a paucity of studies examining changes in psychological health, especially well-being, since the 1990s. We contribute evidence using two cross-sectional waves of the Midlife in the United States (MIDUS) study to assess changes in measures of psychological distress and well-being. These measures capture negative emotions such as sadness, hopelessness, and worthlessness, and positive emotions such as happiness, fulfillment, and life satisfaction. Most of the measures reveal increasing distress and decreasing well-being across the age span for those of low relative socioeconomic position, in contrast to little decline or modest improvement for persons of high relative position.

scholarly journals The United States-China Trade War: Empirical Assessment

2020 ◽  
pp. 35-45
Author(s):  
Victor Adjarho Ovuakporaye
Keyword(s):  
United States ◽  
Global Economy ◽  
The United States ◽  
International Economy ◽  
Trade Relation ◽  
Empirical Assessment ◽  
China Trade ◽  
The Us ◽  
Trade War ◽  
The Impact

This paper aims to explore the US-China trade war by looking at various issues surrounding the US-China trade relation. The US-China trade war had been imminent since January 2018, meritoriously commenced on 6 July 2018, which is still ongoing. The US imposed sanctions on various Chinese goods, which was counter by the Chinese side also. Both side have felt the effect of the trade war though China felt the impact more than United States. Though, both nations have recently held positive trade talks which leads to the first phase of negotiation the trade war is still ongoing. If the partnership between the United states and China collapses, this will also end up harming the global economy severely since they are crucial cornerstones of the international economy.

scholarly journals Clustering and Healthcare Costs With Multiple Chronic Conditions in a US Cross-Sectional Study

2020 ◽  
Author(s):  
cother hajat ◽  
yakir siegal ◽  
amalia adler-waxman
Keyword(s):  
Mental Health ◽  
Chronic Conditions ◽  
Healthcare Costs ◽  
Multiple Chronic Conditions ◽  
Cross Sectional ◽  
The Us ◽  
Health Related ◽  
Insured Patients ◽  
The Impact ◽  
Hiv Aids

Objective To investigate healthcare costs and contributors to costs for multiple chronic conditions (MCCs), common clusters of conditions and their impact on cost and utilisation. Methods This was a cross-sectional analysis of US financial claims data representative of the US population, including Medicare, Medicaid and Commercial insurance claims in 2015. Outcome measures included healthcare costs and contributors; ranking of clusters of conditions according to frequency, strength of association and unsupervised (k-means) analysis; the impact of clustering on costs and contributors to costs. Results Of 1,878,951 patients, 931,045(49.6%) had MCCs, 56.5% weighted to the US population. Mean age was 53.0 years(SD16.7); 393,121(42.20%) were male. Mean annual healthcare spending was $12,601, ranging from $4,385 (2 conditions) to $33,874 (11 conditions), with spending increasing by 22-fold for inpatient services, 6-fold for outpatient services, 4.5-fold for generic drugs and 4.2-fold for branded drugs. Cluster ranking using the 3 methodologies yielded similar results: highest ranked clusters included metabolic syndrome(12.2% of US insured patients), age related diseases(7.7%), renal failure(5.6%), respiratory disorders(4.5%), cardiovascular disease(CVD)(4.3%), cancers(4.1-4.3%), mental health-related clusters(1.0-1.5%) and HIV/AIDS(0.2%). Highest spending was in HIV/AIDS clusters ($48,293), mental health-related clusters ($38,952-$40,637), renal disease ($38,551) and CVD ($37,155); with 89.9% of spending on outpatient and inpatient care combined, and 10.1% on medication. Conclusion and Relevance Over 57% of insured patients in the US may have MCCs. MCC Clustering is frequent and is associated with healthcare utilisation. The findings favour health system redesign towards a multiple condition approach for clusters of chronic conditions, alongside other cost-containment measures for MCCs.

scholarly journals Gender-Inclusive Fellowship Naming and Equity, Diversity, and Inclusion in Radiology: An Analysis of Radiology Department Websites in Canada and the United States

2022 ◽  
pp. 084653712110661
Author(s):  
Tyler D. Yan ◽  
Lauren E. Mak ◽  
Evelyn F. Carroll ◽  
Faisal Khosa ◽  
Charlotte J. Yong-Hing
Keyword(s):  
United States ◽  
Breast Imaging ◽  
The United States ◽  
Radiology Department ◽  
Imaging Data ◽  
Body Imaging ◽  
Cross Sectional ◽  
Diversity And Inclusion ◽  
The Us ◽  
The Impact

Purpose: Transgender and gender non-binary (TGNB) individuals face numerous inequalities in healthcare and there is substantial work to be done in fostering TGNB culturally competent care in radiology. A radiology department’s online presence and use of gender-inclusive language are essential in promoting an environment of equity, diversity, and inclusion (EDI). The naming of radiology fellowships and continuing medical education (CME) courses with terminology such as “Women’s Imaging” indicates a lack of inclusivity to TGNB patients and providers, which could result in suboptimal patient care. Methods: We conducted a cross-sectional analysis of all institutions in Canada and the United States (US) offering training in Breast Imaging, Women’s Imaging, or Breast and Body Imaging. Data was collected from each institution’s radiology department website pertaining to fellowship names, EDI involvement, and CME courses. Results: 8 Canadian and 71 US radiology fellowships were identified. 75% of Canadian and 90% of US fellowships had gender-inclusive names. One (12.5%) Canadian and 29 (41%) US institutions had EDI Committees mentioned on their websites. Among institutions publicly displaying CME courses about breast/body or women’s imaging, gender-inclusive names were used in only 1 (25%) of the Canadian CME courses, compared to 81% of the US institutions. Conclusions: Most institutions in Canada and the US have gender-inclusive names for their radiology fellowships pertaining to breast and body imaging. However, there is much opportunity to and arguably the responsibility for institutions in both countries to increase the impact and visibility of their EDI efforts through creation of department-specific committees and CME courses.

scholarly journals A Global Study of COVID-19 Vaccination Intentions: The Role of Personal Experiences and Risk Perceptions

2021 ◽  
Author(s):  
Kaitlyn Akel ◽  
Grace Noppert ◽  
Yogambigai Rajamoorthy ◽  
Yihan Lu ◽  
Awnish Singh ◽  
...  
Keyword(s):  
Family Member ◽  
Risk Perceptions ◽  
Influential Factors ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Personal Experiences ◽  
The Us ◽  
Personal Diagnosis ◽  
Vaccine Decision Making ◽  
The Impact

Abstract Background The COVID-19 pandemic presents an opportunity to assess the impact of personal experiences on vaccine decision-making. The aim of this study was to examine the associations between experiences with COVID-19 and intention to vaccinate against COVID-19. Methods We administered 28 repeated cross-sectional, online surveys between June 2020 and June 2021 in the US and Asia. The main exposures were three types of experiences: COVID-19 diagnosis, knowing a friend/family member with COVID-19, and exposures to media containing COVID-19 patients. A series of logistic regression models estimated the association between each experience and acceptance of a hypothetical COVID-19 vaccine. We also explored perceived susceptibility as a potential mediator. Results Intent to vaccinate was lowest in the US and Taiwan, and highest in India, Indonesia, and China. Personal diagnosis with COVID-19 had the greatest impact on intentions to vaccinate across country sites compared to those who experienced a friend or family member diagnosed with COVID-19 or exposures to personal stories reported through media. In India participants that reported a personal diagnosis with COVID-19 had 12.95 times the odds (95% CI: 4.89, 34.28) of accepting a COVID-19 vaccine compared to those with no diagnosis. Higher risk perceptions were associated with higher intention to vaccinate against COVID-19. Conclusions Proximity and seriousness of experiences are influential factors for intention to vaccinate against COVID-19. This study highlights the numerous ways in which pandemic experiences may influence intention to vaccinate against COVID-19 across geographies and cultures, where the course of the pandemic differed.

The US–China Trade War: Impact on India and Other Asian Regions

2021 ◽  
Vol 3 (2) ◽  
pp. 144-168
Author(s):  
Rajesh Chadha ◽  
Sanjib Pohit ◽  
Devender Pratap
Keyword(s):  
United States ◽  
Bilateral Trade ◽  
The United States ◽  
Transport Sector ◽  
Jel Codes ◽  
Policy Responses ◽  
China Trade ◽  
The Us ◽  
Trade War ◽  
The Impact

The growing protectionism globally and the outbreak of a major US–China trade war led Indian exports facing higher tariffs. This article has tried to investigate how India should react to the trade tensions between the two largest economies of the world. This will help policymakers in India to assess the impact of the likely developments and choose between different policy responses. In a bilateral US–China trade war, while both the United States and China stand to lose in terms of GDP, exports and imports, India stands to gain. India stands to lose when the US–China trade war applies also to India, which faces higher tariffs from both. India’s losses increase further when India responds by increasing its tariffs on imports from the United States and China. In fact, reducing own tariffs could be a wiser step. Enhancing productivity measures by raising port efficiency and making trade and transport sector more efficient appear to pay dividend. India gains even more from joining the RCEP-like trading block when the United States and China are indulging in bilateral trade war. Last but not least, US–China trade war seems to affect Asian countries, some positively some negatively. JEL Codes: F13, C68, F14

Sign in / Sign up

Export Citation Format

Share Document