Payments to key opinion leader physicians and drug sales of top pharmaceutical companies during the COVID-19 pandemic

Background: The unprecedented context of the COVID-19 pandemic poses the opportunity to study several questions in circumstances that would probably not otherwise occur. We sought to determine the dynamics of pharmaceutical company drug sales revenue, market capitalization and payments to physicians during the pandemic, focusing on payments to so-called key opinion leaders (KOLs). Methods: We analyzed the CMS Open Payments data of 15 top pharmaceutical company general payments to US physicians. We calculated total payments per year for all physicians, KOLs and 2018 KOLs in subsequent years. Drug-related fold changes in payments, drug revenues and company market capitation were calculated using Q1-2018 as reference. Yearly differences in payments, drug sales revenue and market capitalization were tested using generalized estimation equations (GEE). A double-sided p<0.05 was considered significant. Results: The analyzed dataset comprised 8,563,872 payments to 382,779 physicians. In 2020, we observed a reduction in payments to physicians and KOLs compared to prior years. The total amount per KOL physician per company also decreased for each year for KOLs and the 2018 KOLs in the subsequent years. Payments per drug, but neither drug revenues nor pharmaceutical company market capitalization, followed a downward trend in 2020 compared to prior years. GEE analysis confirmed that, compared to 2018, the decrease in payments to KOLs overall and for the top drugs of each company was statistically significant. Yet, no significant differences in drug sales revenue and market capitalization was observed. Conclusions: A substantial and significant reduction in payments to KOLs during the first fiscal year of the COVID-19 pandemic was not associated with a reduction in drug sales revenue of blockbuster drug products and the market capitalization of 15 top pharmaceutical companies. Overall, these findings suggest that a substantial part of pharmaceutical payments to KOLs do not appear to impact top drug sales revenues.

Measuring the Systematic Risk of Sectors within the US Market Via Principal Components Analysis: Before and during the COVID-19 Pandemic

This research measures the systematic risk of 10 sectors in the American Stock Market, discerning the COVID-19 pandemic period. The novelty of this study is the use of the Principal Component Analysis (PCA) technique to measure the systematic risk of each sector, selecting five stocks per sector with the greatest market capitalization. The results show that the sectors that have the greatest increase in exposure to systematic risk during the pandemic are restaurants, clothing, and insurance, whereas the sectors that show the greatest decrease in terms of exposure to systematic risk are automakers and tobacco. Due to the results of this study, it seems advisable for practitioners to select stocks that belong to either the automakers or tobacco sector to get protection from health crises, such as COVID-19.

Forecasting Stock Market Momentum in Nepal: Application of Fuzzy Logic Model

Background: Stock market experts analyse various indicators to estimate the stock market, including historical prices, economic analysis, industry analysis and company analysis, but this study uses historical prices for the NEPSE index, making forecasting more precise. Purpose: The purpose of this study is to explore short-term stock market momentum using fuzzy logic. The study also aims to establish a suitable fuzzy model to predict stock momentum, reduce the risk, and make the right investment decision. Methodology/Design: This study employed exploratory research design to understand the problem of chaotic decision making in the stock market. The mathematical method employed in this study is membership functions, which are part of fuzzy logic. This includes only the commercial banks, as it has the highest market capitalization, 53.11% of total market capitalization. Using 14-day past data as a base, the suggested fuzzy model determines the stock index’s momentum over the next 5 days. Findings: The forecasted trend value for the Nabil, Civil, and Prime Commercial bank is 0.92, 0.92, and 0.80, which shows a bullish trend. Compared to previously collected data, the findings closely reflect the expected real-world values.

Market valuation of the world's leading public oil and gas corporations as an indicator of investment attractiveness of domestic vertically integrated companies

Subject. This article explores the market valuation ratios of the twenty five leading listed oil and gas companies between 2006 and 2018. Objectives. The article aims to identify key trends in the changes in market valuations of the largest listed oil and gas companies, and identify the factors that have caused these changes. Methods. For the study, I used comparative, and financial and economic analyses, and generalization of materials of the companies' consolidated financial statements. Results. The article shows certain changes in the main indicators of market valuation of the leading listed oil and gas companies and identifies the main factors that contributed to these changes. It establishes that the most significant for comparison and valuation are ratios based on balance sheet values of assets and equity, and net sales, EBITDA, DACF and net income ratios are appropriate as auxiliary ratios. The article says that the exchange segment of the industry has increased the debt load, so instead of market capitalization as a component of the coefficients of this group, it is advisable to apply the enterprise value indicator. Conclusions and Relevance. The article concludes that the market sentiments towards the stock market segment of the global oil and gas industry are getting impaired. This is quite natural against the background of falling profitability of most leading companies. The results of the study can be useful in evaluating, forecasting and developing measures to increase the market capitalization and value of listed oil and gas companies.

FOREIGN PORTFOLIO INVESTMENT AND CAPITAL MARKET DEVELOPMENT IN NIGERIA

The poor performance of Nigeria’s stock market is a source of concern and has generated contentious debates among the stakeholders in the Nigerian Stock Exchange Market (NSE). This study investigates the impact of foreign portfolio investment on the performance of the stock market in Nigeria for the period of 30years (1989-2018). Secondary and time-series data were used and the variables such as; stock market capitalization proxy for capital market performance, portfolio investment, exchange rate and inflation rate were sourced from the Central Bank of Nigeria (CBN) statistical bulletin, 2019 To avoid spurious results, unit-root test and regression analysis were used as the tools of data analysis. Findings show that all the predictors have no significant impact on stock market capitalization except the exchange rate that is statistically significant at 5% critical value. However, the f-statistic results (18.83660) indicate that the combine variables have a significant impact on stock market performance in Nigeria. It was therefore concluded that foreign portfolio investment if properly encouraged serve as a Potent variaable for enhancing the performance of the stock market in Nigeria. The study recommends that, there is a need for the government through the central bank of Nigeria to implement a policies that will increase the level and size of market capitalization in the capital market. Such an increase in the capital market will provide the necessary funds for investors for further investments thereby increasing productivity in Nigeria.

Overallocation and Correction of Carbon Emissions in the Evaluation of Carbon Footprint

This paper points to several carbon footprint data distortions that overallocate carbon footprints to individual companies, and to several carbon data intricacies that lead to improved data integrity. Data distortion due to the same company being listed in multiple geographical jurisdictions or through different share classes overstates Emissions Scope 1 by 4.6%, Emissions Scope 2 by 5.5%, Emissions Scope 3 by 10.6% and Reserves by 6.0%. Data distortion due to index construction by having different market capitalization in representative indices overallocates Emissions Scope 1 by 33.9%, Emissions Scope 2 by 27.6%, Emissions Scope 3 by 21.3% and Reserves by 57.2%. A significant amount of carbon data is not precise but is estimated by third-party providers through proprietary techniques. The estimated data for Scope 1 Emissions is 46.4% for the companies in the index. In addition, carbon data is stale, resulting in 94.5% of data being two years old or more. Usage of carbon data in a present format may incorrectly remove some companies from portfolios (negative screen, complete removal) or incorrectly reduce some companies’ weight in a portfolio (partial screen, fractional removal).

The Impact of Corporate Social Responsibility on the Company’s Financial Performance

This article empirically evaluates the impact of CSR behaviour on the financial indicators of 286 companies from Brazil, Russia, India, and China over six years from 2013 to 2018. Company information and CSR ratings were retrieved from the Bloomberg and RobetaSAM databases, and hypotheses were proposed based on a literature review. We constructedvarious analytical models that differ in dependent variables to better evaluate of distinct CSR metrics through different regression methods. Analyzed factors include: (1) the presence of women on the board; (2) the presence of a company in CSR ratings, and (3) various cultural aspects of the society where companies operate. Our results support the conclusions of related research in this field of study. Among other consequences, our analysis indicates that CSR significantly influences financial performance, although this is also contingent on external factors. A company’s presence in the CSR rating scale has a more substantial impact on profitability and market capitalization indicatorsthan the actual score itself. CSR information disclosure has some effect on ROA and ROE, and the presence of women in the board of Directors showed a slight positive effect on market capitalization. Further, a high level of ‘power distance’ (i.e. the ostensible alienation of the general citizenry from political authority sources) in the society where company operatesharms the relationship between the rating score and financial performance.

An Empirical Analysis of the Annual Report Effect of High Market Capitalization Companies in China

In this paper, we study the abnormal stock price returns of the top 10 stocks in the Chinese stock market in terms of total market capitalization before and after the release of their annual reports in the past 10 years, using the event study method implemented by the Event Study package of the Alpha Library under Python, using a market model to estimate normal returns. The results find that and most of the events have insider phenomenon.

PERAMALAN VOLATILITAS DAN ESTIMASI VALUE AT RISK (VaR) SAHAM BLUE CHIP PADA SEKTOR PERBANKAN

Investment is an activity to invest an asset to obtain a greater profit. The investment there's in great demand by investors are stock investments. Based on market capitalization, stocks are classified into first-tier, second-tier, and third-tier stocks. Stocks that have the highest market capitalization are first-tier or blue-chip stocks. Blue-chip stocks are stocks that are classified as main shares on the listing board on the IDX. Before investing, it's important to know the level of investment risk in order to make the right investment decisions. The purpose of this study is to determine the risk of investing in blue-chip stocks namely BRI, BCA, and Bank Mandiri through volatility forecasting using the GARCH, EGARCH, or TGARCH models. The data used is the daily closing price of shares for the period of 25 May 2005 to 21 May 2021 which was obtained through the Yahoo Finance website. Based on the research results, it's known that Bank Mandiri has the highest investment risk and BCA has the lowest investment risk. Based on these results, it can be suggested that investors who like risk can choose to invest in Bank Mandiri shares, and those who don't like risk can invest in BCA shares.