scholarly journals Predicting the Reputation of Pharmaceutical Firms with Financing and Geographical Location Data

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1893
Author(s):  
Mª Ángeles Alcaide ◽  
Elena de la de la Poza ◽  
Mª Natividad Guadalajara
Keyword(s):  
Logistic Regression ◽  
Pharmaceutical Industry ◽  
Stock Market ◽  
Geographical Location ◽  
Pharmaceutical Companies ◽  
Debt Ratio ◽  
Market Outcomes ◽  
Pharmaceutical Firms ◽  
Location Data ◽  
Stock Market Performance

Reputation is a strategic asset for firms, but has been poorly studied in the pharmaceutical industry, particularly in relation to their financial and stock-market performance. This work aimed to predict the probability of a firm being included in a pharmaceutical reputation index (Merco and PatientView), and the position it occupies, according to its economic–financial and stock-market outcomes and its geographical location. Fifty firms with excellent sales in 2019 and their rankings in 2017–2019 were employed. The methodology followed was logistic regression. Their research and development (R&D) expenditures and dividends strongly influenced them being included in both rankings. Non-Asian pharmaceutical companies were more likely to belong to the two reputation indices than Asian ones, and to occupy the best positions in the Merco ranking. Although no large differences appeared in the firms in both indices, differences were found in the position that pharmaceutical companies occupied in rankings and in the variables that contribute to them occupying these positions. Being in PatientView influenced dividends, sales, and income, while appearing in Merco showed accounting aspects like value in books and debt ratio.

Do innovative activities matter to Indian drug and pharmaceutical firms? An application to export performance

2017 ◽  
Vol 13 (4) ◽  
pp. 193-205
Author(s):  
Shilpi Tyagi ◽  
DK Nauriyal
Keyword(s):  
Pharmaceutical Industry ◽  
Rapid Growth ◽  
Export Performance ◽  
Innovative Activity ◽  
Financial Data ◽  
Pharmaceutical Companies ◽  
Firm Level ◽  
The Real ◽  
Pharmaceutical Firms ◽  
New Evidence

This paper analyzes the R&D and exports profile of Indian drug and pharmaceutical industry during the period 2000–2014. The present paper examines how R&D expenditure and patent impact export performance of the Indian drug and pharmaceutical firms. The study period from 2000 to 2014 has been characterized by a rapid growth in industry’s innovative activity, as part of the strategic shift, induced by the Patents (Amendment) Act, 2005. Using the real financial data for the top 91 publicly listed Indian domestic pharmaceutical companies, the study provides new evidence on firm-level export performance of the Indian drugs and pharmaceutical industry. Generalized Method of Movements estimator developed by Blundell and Bond is applied. The empirical findings of the study reveal that increased R&D intensity, higher patent count and firm’s size are important determinants of firm-level export performance.

scholarly journals The Innovation-Remuneration Index (IRI). Making pharmaceutical companies report what matters about innovation.

2021 ◽  
Author(s):  
Adam Cohen ◽  
Rebecca Ultee ◽  
Glenn Veldhoven
Keyword(s):  
Pharmaceutical Industry ◽  
Annual Reports ◽  
Pharmaceutical Companies ◽  
Pharmaceutical Firms ◽  
Objective View ◽  
The Cost ◽  
A Company ◽  
What Matters

There is a lack of transparency about the cost of innovation of the pharmaceutical industry even though these costs are claimed to be the major driver for high prices for medicines. This is reflected by annual reports of the major pharmaceutical firms that contain a low number of pages on innovation and its detailed costs, in comparison to pages about remuneration of executives where the detail is excessive. The Innovation/Remuneration Index (IRI) provides an objective view of the transparency priorities of a company and has the potential to shift this focus in favour of transparent and detailed information on the cost of innovation.

Predicting Stock Market Performance

2020 ◽  
pp. 1-10
Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter
Keyword(s):  
Stock Market ◽  
Risk Taking ◽  
Life Stress ◽  
Price Volatility ◽  
Individual Characteristics ◽  
Self Report ◽  
Financial Behavior ◽  
Market Simulation ◽  
Stock Market Performance ◽  
Risk Taking Behavior

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.

The “dividend puzzle” and the Russian stock market. Part 1

2020 ◽  
pp. 66-92 ◽  
Author(s):  
A. E. Abramov ◽  
A. D. Radygin ◽  
M. I. Chernova ◽  
R. M. Entov
Keyword(s):  
Stock Market ◽  
Financial Stability ◽  
Dividend Policy ◽  
General Context ◽  
Steady Increase ◽  
Main Research ◽  
For Profit ◽  
Dividend Payments ◽  
Stock Market Performance ◽  
Dividend Irrelevance

This article analyzes the key patterns of the dividend policy and the problem of the “dividend puzzle” in the general context of the development of the stock market in Russia. The article consists of two parts.In the first part we summarize main research trends of dividend policy in modern economic theory (the classical Modigliani—Miller theory of dividend irrelevance, agent and signal hypotheses, the smoothing model, the catering theory, etc.). We emphasize the theoretical analysis of motivation of the largest Russian companies for profit allocation and dividend payout, based on a sample of 236 joint stock companies. Since 2012, a steady increase in dividend payments has been revealed in both private and state-owned enterprises (SOEs). The bulk of dividend payments from SOEs accounts for only 12 major companies. Along with an increase in the market value, dividends have become an important factor in the total return on shares. Under current conditions, the probability of paying dividends depends not only on the size of the company and indicators of its’ financial stability, but also on the presence of the state in the capital of companies. However, the relationship between the probability of paying dividends and state participation in the ownership structure is not universal and can be explained by specific factors that go beyond the classical dividend theories.In the second part we will analyze the patterns of stock market performance and dividend policy of the largest Russian companies, motivation for dividend payouts and special aspects of SOEs policy.

Pricing models of shares of Russian companies and their practical application

2019 ◽  
pp. 48-76 ◽  
Author(s):  
Alexander E. Abramov ◽  
Alexander D. Radygin ◽  
Maria I. Chernova
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Factor Model ◽  
Investment Strategies ◽  
Pricing Models ◽  
Foreign Portfolio Investment ◽  
Market Portfolio ◽  
Stock Market Performance ◽  
Long Time ◽  
Russian Stock Market

The article analyzes the problems of applying stock pricing models in the Russian stock market. The novelty of the study lies in the peculiarities of the methodology used and the substantive conclusions on the specifics of the influence of fundamental factors on the pricing of shares of Russian companies. The study was conducted using its own 5-factor basic pricing model based on a sample of the most complete number of issues of shares of Russian issuers and a long time horizon, from 1997 to 2017. The market portfolio was the widest for a set of issuers. We consider the factor model as a kind of universal indicator of the efficiency of the stock market performance of its functions. The article confirms the significance of factors of a broad market portfolio, size, liquidity and, in part, momentum (inertia). However, starting from 2011, the significance of factors began to decrease as the qualitative characteristics of the stock market deteriorated due to the outflow of foreign portfolio investment, combined with the low level of development of domestic institutional investors. Also identified is the cyclical nature of the actions of company size and liquidity factors. Their ability to generate additional income on shares rises mainly at the stage of the fall of the stock market. The results of the study suggest that as domestic institutional investors develop on the Russian stock market, factor investment strategies can be used as a tool to increase the return on investor portfolios.

A Study of Multilayered Profitability Analysis by Using DuPont Model: Evidence from Indian Pharmaceutical Industry

2021 ◽  
pp. 097215092199305
Author(s):  
Pinku Paul
Keyword(s):  
Panel Data ◽  
Pharmaceutical Industry ◽  
Profit Margin ◽  
Pharmaceutical Firms ◽  
Sustainable Performance ◽  
Profitability Analysis ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

Profitability is used as a prime indicator to measure the sustainable performance of an organization. The current study made an attempt to apply the DuPont model to investigate the multilevel profitability determinants for the pharmaceutical industry of India. The study also estimates an empirical model to predict the association of profitability with factors such as profit margin, asset utilization, leverage, interest load and tax load of firms in the pharmaceutical industry of India. For this purpose, a dataset for 170 companies from 2010–2011 to 2018–2019 was analysed initially by using panel data regression followed by stepwise panel data regression. The study successfully applied and tested the DuPont model with respect to the firms of the pharmaceutical industry in India. It was found that the factors such as profit margin, asset utilization and leverage had a significant positive effect on the firms’ profitability and the factor interest load had a significant negative effect on the firms’ profitability. The tax load does not have an impact on the profitability of the pharmaceutical firms in India. These findings are expected to provide a guide for understanding the profitability of the firms in a better way.

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