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Journal articles on the topic 'Industrial stocks'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Shen, Yifei, Tian Liu, Wenke Liu, Ruiqing Xu, Zhuo Li, and Jia Wang. "Deep Reinforcement Learning for Stock Recommendation." Journal of Physics: Conference Series 2050, no. 1 (2021): 012012. http://dx.doi.org/10.1088/1742-6596/2050/1/012012.

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Abstract Recommending stocks is very important for investment companies and investors. However, without enough analysts, no stock selection strategy can capture the dynamics of all S&P 500 stocks. Nevertheless, most existing recommending strategies are based on predictive models to buy and hold stocks with high return potential. But these strategies fail to recommend stocks from different industrial sectors to reduce risks. In this article, we propose a novel solution that recommends a stock portfolio with reinforcement learning from the S&P 500 index. Our basic idea is to construct a

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2

Luo, Qinyuan. "Research on the Investment Value of Three Companies on Industrial Sectors in the U.S. Capital Market." Highlights in Business, Economics and Management 4 (December 12, 2022): 183–87. http://dx.doi.org/10.54097/hbem.v4i.3446.

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Stocks and bonds issued by industrial companies listed and traded on the stock exchange belong to industrial stocks. For example: electric power, steel, automobile, food, beverage, wine, textile, pharmaceutical, and other enterprises engaged in product manufacturing stocks, bonds and other securities. In the United States, industrial stocks make up a large proportion of the economy. In the process, investors can make a lot of profits. Despite more than a century of growth in such industries, there is still a lot of potential. Industrial stocks are among the areas with the longest shelf life in

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Mollick, Andre. "VIX and the variance of Dow Jones industrial average stocks." Managerial Finance 41, no. 3 (2015): 226–43. http://dx.doi.org/10.1108/mf-07-2013-0197.

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Purpose – The purpose of this paper is to examine what happens to the variance of individual stocks forming the Dow Jones Industrial Average (DJIA) allowing for aggregate uncertainty measured by VIX, the “fear gauge index” of US options contracts. In examining each individual stock belonging to DJIA in 2011, the authors reconsider aggregate market uncertainty (VIX) as the mixing variable. In contrast to studies on the effects of VIX on the aggregate equity market, the data set used in this paper allow a further look at the proposition that market aggregate uncertainty should have varying impac

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Fei, Hanfeng. "Analysis of the Investment Value of three American companies in Industrial Sector." Highlights in Business, Economics and Management 4 (December 12, 2022): 194–98. http://dx.doi.org/10.54097/hbem.v4i.3448.

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Industrial stocks are stocks issued by industrial enterprises that produce non-consumer materials. Industries producing non-consumer data generally include extractive industry, manufacturing industry, electric power industry, gas industry and so on. The stocks issued by these industrial enterprises that produce non-consumer materials are called industrial stocks. Industrial stocks have a long history in United States. As early as 1900, industrial stocks became the majority of American stocks. In the same year that the United States overtook Britain as the country with the biggest economy in th

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Wang, Su Sheng, Yong Guan Mai, and Hong Yu Ning. "Pure Statistical and Multi-Level Industrial Pairs Trading: Bridged by Statistical Characters." Advanced Materials Research 479-481 (February 2012): 829–32. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.829.

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To investigate the differences between industrial pairs trading in different classification levels, explore the compatibility between pure statistical pairs and industrial pairs, the article based on the 50 stock’s data of Index 50 SSE in China from 2004 to 2010, implemented the GGR trading strategy, and paired the sample stocks with pure statistical, primary industry and secondary industry pairing methods. It discovered that primary industrial pairs make no significantly difference with pure statistical pairs, but the secondary industry pairs do and improve markedly with the possibility of ru

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Jefry, Jefry, and Abid Djazuli. "The Effect of Inflation, Interest Rates and Exchange Rates on Stock Prices of Manufacturing Companies in Basic and Chemical Industrial Sectors on the Indonesia Stock Exchange (IDX)." International Journal of Business, Management & Economics Research 1, no. 1 (2020): 34–49. http://dx.doi.org/10.47747/ijbmer.v1i1.49.

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This study examines the effect of inflation, interest rates and exchange rates on stocks in basic industrial sector and chemical manufacturing companies on the Indonesia Stock Exchange (BEI). The study period is 2013 to 2017. An ordinary least square (OLS) is employed. The results show that (1) There is a significant effect of inflation, interest rates and exchange rates on stocks. together with the Basic Industry and Chemical Sector Manufacturing companies on the Indonesia Stock Exchange (IDX); (2) There is a significant influence of inflation on shares in manufacturing companies in the Basic

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Enow, Samuel Tabot. "OVERREACTION AND UNDERREACTION DURING THE COVID-19 PANDEMIC IN THE SOUTH AFRICAN STOCK MARKET AND ITS IMPLICATIONS." EURASIAN JOURNAL OF BUSINESS AND MANAGEMENT 10, no. 1 (2022): 19–26. http://dx.doi.org/10.15604/ejbm.2022.10.01.002.

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The aim of this study was to investigate overreaction and underreaction from the six main sectors in the Johannesburg stock exchange due to the significant impact of Covid-19 on economic activities and financial markets globally. Using a Threshold GARCH model, the findings revealed the presence of overreaction mostly in the healthcare, industrial and telecom sector. However, very few stocks in the banking and tech portrayed overreaction while none of the stocks in the consumer goods sector revealed the presence of overreaction or underreaction because the coefficient of the leverage term was s

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Kulyk, Anatolii. "APPLICATION OF THE (R, S) MODEL WHEN PLANNING STOCKS IN AN INDUSTRIAL ENTERPRISE." Scientific Notes of Ostroh Academy National University, "Economics" Series 1, no. 26(54) (2022): 37–42. http://dx.doi.org/10.25264/2311-5149-2022-26(54)-37-42.

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One of the current problems in the enterprise management system is the creation and replenishment of stocks, the organization of continuous monitoring and prompt supply of raw materials. Using mathematical models, you can solve the problem of forming the optimal production program of the enterprise, investing in production, as well as to carry out strategic planning of enterprise development. In each case, it is important to build a model that describes the system under study, and on its basis to find the optimal ratio between costs and benefits of the selected level of stocks and determine wh

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Kumar, Shivam. "INVESTOR PERCEPTION TOWARDS THE STOCK MARKET." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32943.

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A stock market is a market in which stocks are bought and sold. It is also called industrial securities market, because it is the market for the trading of company stocks i.e. corporate securities; both those securities listed on stock exchange as well as those only traded privately. The term ‘Stock Market’ is often used as synonymous to ‘Stock Exchange’. But there is a difference in the two terms. Stock exchange is a corporation in the business of bringing buyers and sellers of stocks together. It is a major part of stock market, but not whole of it. Because a stock market besides stock excha

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Krausmann, Fridolin, Dominik Wiedenhofer, Christian Lauk, et al. "Global socioeconomic material stocks rise 23-fold over the 20th century and require half of annual resource use." Proceedings of the National Academy of Sciences 114, no. 8 (2017): 1880–85. http://dx.doi.org/10.1073/pnas.1613773114.

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Human-made material stocks accumulating in buildings, infrastructure, and machinery play a crucial but underappreciated role in shaping the use of material and energy resources. Building, maintaining, and in particular operating in-use stocks of materials require raw materials and energy. Material stocks create long-term path-dependencies because of their longevity. Fostering a transition toward environmentally sustainable patterns of resource use requires a more complete understanding of stock-flow relations. Here we show that about half of all materials extracted globally by humans each year

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Nuryani, Anik, Ontot Marwanto, and Tri Ratnawati. "ANALISIS HARGA SAHAM SYARIAH INDONESIA JAKARTA ISLAMIC INDEX MASA SEBELUM DAN SAAT COVID 19." JEA17: Jurnal Ekonomi Akuntansi 6, no. 1 (2021): 1–16. http://dx.doi.org/10.30996/jea17.v6i1.5219.

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ABSTRACTThis study aims to test and analyze the Indonesian Jakarta Islamic Index's Islamic stock price which is influenced by 4 macroeconomic fundamentals (inflation, exchange rate $ / IDR, interest rates, stock trading volume) and shares of Indonesia's 5 largest trading partners (Shanghai Composite Index China shares, stocks Japanese Nikkei 225 Index, Singapore Straits Time Index shares, United States Dow Jones Industrial Average shares, India S&P BSE Sensex shares) before and during covid-19. The population in this study were Indonesian Islamic stocks listed on the IDX with the period Ma

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Drobchak, M. O., and O. H. Yakovenko. "Inventory Management Modeling in the Budget Process of an Industrial Enterprise." Business Inform 1, no. 528 (2022): 152–58. http://dx.doi.org/10.32983/2222-4459-2022-1-152-158.

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The article is aimed at studying and substantiating the role of stocks in the budget process of an industrial enterprise, as well as elaborating a dynamic economic and mathematical model of inventory management, which would take into account the stochastic nature of demand for products and maximize profits that directly depend on the volume of output and, accordingly, on the stocks of finished products and raw materials available in stock. Since stocks affect profits, which, in turn, reflect a positive financial result of the enterprise, the application of the elaborated model will be the key

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Amalia, Farah, and Nindi Riyana Saputri. "Does Investor Sentiment Affect Islamic Stock Prices? Evidence From Indonesia." Jurnal Riset Ekonomi Manajemen (REKOMEN) 5, no. 2 (2022): 117–27. http://dx.doi.org/10.31002/rn.v5i2.5609.

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The Islamic finance industry in Indonesia has grown rapidly in the last decade, one of which is marked by the number of sharia stocks. Sharia stocks, based on the underlying principle, prohibit the involvement of investor sentiment which is often used as a consideration in investment decisions because there are elements of tadlees in it. This study examines the influence of investor sentiment on islamic stock prices index. This study aims to analyze whether Islamic stock price indices are influenced by investor sentiment. The representation of Islamic stock price indices are Indonesia Sharia S

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Chen, Wei-Qiang, and T. E. Graedel. "In-use product stocks link manufactured capital to natural capital." Proceedings of the National Academy of Sciences 112, no. 20 (2015): 6265–70. http://dx.doi.org/10.1073/pnas.1406866112.

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In-use stock of a product is the amount of the product in active use. In-use product stocks provide various functions or services on which we rely in our daily work and lives, and the concept of in-use product stock for industrial ecologists is similar to the concept of net manufactured capital stock for economists. This study estimates historical physical in-use stocks of 91 products and 9 product groups and uses monetary data on net capital stocks of 56 products to either approximate or compare with in-use stocks of the corresponding products in the United States. Findings include the follow

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Sahu, Chinmoy. "Effectiveness of ‘Dogs of the Dow’ Investment Strategy in the Indian Context." Vikalpa: The Journal for Decision Makers 26, no. 1 (2001): 65–72. http://dx.doi.org/10.1177/0256090920010106.

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Investors have always yearned for ways to beat the market. In recent years, one popular strategy among American investors involves a portfolio comprising of the ten highest yielding stocks selected from among the 30 stocks in the Dow Jones Industrial Average (DJIA), one of the most popular stock indices of the US. Such ft portfolio based on the Dow Dividend Strategy (DDS) came to be known as the ‘Dogs of the Dow.’ Portfolio of ‘Dogs of the Dow’ has been found to outperform the Dow on numerous occasions. This paper studies the effectiveness of such a strategy in the Indian context by applying t

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Minin, A. E., R. K. Kataev, and D. I. Postnov. "Stock characteristics, dynamics and efficiency of using of the main commercial fish species, prospects of catching at the Gorky reservoir." Problems of Fisheries 24, no. 3 (2023): 141–60. http://dx.doi.org/10.36038/0234-2774-2023-24-3-141-160.

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Based on the materials of resource studies in 2003–2021 and stock databases of the Nizhny Novgorod branch of the Federal State Budgetary Scientific Institution «VNIRO», a history review of the development of the fisheries, the dynamics of stocks and biological indicators of the main commercial fish species of the Gorky Reservoir has been prepared. Data on the development of stocks of aquatic biological resources by industrial fishing are given. The water biological resources reserves of the reservoir are shown, which at least make up about one third of the modern industrial production (about 1

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YILMAZ ÖZEKENCİ, Süreyya, and Hatice DÜZAKIN. "Yatırım Projesi Değerlendirilmesinde Kullanılan Sermaye Bütçelemesi Yöntemleri: Türkiye’nin 500 Büyük Sanayi Kuruluşu Örneği." Fiscaoeconomia 7, no. 3 (2023): 2149–76. http://dx.doi.org/10.25295/fsecon.1311053.

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The main aim of this study is to determine the capital budgeting methods preferred by Turkey's Top 500 Industrial Enterprises when evaluating their investment projects and the usage rates of the capital budgeting techniques. Also, it is aimed to determine the relationship between the capital budgeting methods preferred by both Turkey's Top 500 Industrial Enterprises and companies whose stocks are traded in Borsa Istanbul and firm size, exports, year of establishment, financial risk, education level of managers, sector, and firm performance. The study made use of a questionnaire survey. The sur

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Pudjiani, Meilina, Yusman Syaukat, and Tony Irawan. "Optimum Portfolio Analysis of Black-Litterman Model in The Indonesian Stock Exchange on Consumer Goods Industrial Sector." Winners 21, no. 1 (2020): 27. http://dx.doi.org/10.21512/tw.v21i1.5954.

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The aim of the research was to identify the allocation of optimum portfolio formation in consumer goods sector at Indonesian Stock Exchange from 2014 to 2018 by using Black-Litterman model. This quantitative research used secondary data on stock prices of the consumer goods sector on the Indonesian Stock Exchange from January 2014 to December 2018 which was obtained from Yahoo Finance and the Indonesia Stock Exchange. Four stocks formed the optimum portfolio of consumer goods sector identified by using Black-Litterman model. Those are stocks of PT Indofood CBP Sukses Makmur Tbk, PT Kimia Farma

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O'Mahony, Mary. "Capital Stocks and Productivity in Industrial Nations." National Institute Economic Review 145, no. 1 (1993): 108–17. http://dx.doi.org/10.1177/002795019314500109.

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Kiminchydzhy, Hanna, Alla Balan, and Victoria Kirsanova. "Production Stocks Audit of an Industrial Enterprise." Economic journal Odessa polytechnic university 2, no. 16 (2021): 60–73. http://dx.doi.org/10.15276/ej.02.2021.7.

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The article is devoted to the study of the organization and methods of production stocks audit at the enterprise "Metalozakhyst" LP. International and national standards and regulations, as well as the current regulatory framework for inventory audit are considered. The proposed working papers will help an auditor to achieve this goal when checking production stocks at the enterprise. In the course of the research, a general plan and a detailed audit programme of the selected organization were developed, which will help to identify violations in the financial statements in a timely manner. The

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Hanna, I. Kiminchydzhy, A. Balan Alla, and V. Kirsanova Victoria. "Production Stocks Audit of an Industrial Enterprise." Economic journal Odessa polytechnic university 2, no. 16 (2021): 60–73. https://doi.org/10.5281/zenodo.4955290.

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The article is devoted to the study of the organization and methods of production stocks audit at the enterprise "Metalozakhyst" LP. International and national standards and regulations, as well as the current regulatory framework for inventory audit are considered. The proposed working papers will help an auditor to achieve this goal when checking production stocks at the enterprise. In the course of the research, a general plan and a detailed audit programme of the selected organization were developed, which will help to identify violations in the financial statements in a timely m

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Ely, Regis Augusto. "Previsibilidade de Retornos e Eficiência no Mercado Acionário Brasileiro." Brazilian Review of Finance 9, no. 4 (2011): 571. http://dx.doi.org/10.12660/rbfin.v9n4.2011.3044.

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This paper searches for evidence of predictability in the Brazilian stock market using portfolios grouped by sector and firm size with data from 1999 to 2008. I conduct an automatic variance ratio test using wild bootstrap. This methodology eliminates the arbitrary choice of the holding period as well as improves small sample properties. The results suggest (i) stocks from the industrial sector are highly predictable, (ii) stocks from small firms tend to be more predictable than the ones from large firms, (iii) the Brazilian stock market, measured by the Ibovespa index from 1986 to 2008, shows

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Chen, Chun-Hao, Jonathan Coupe, and Tzung-Pei Hong. "An Accelerated Optimization Approach for Finding Diversified Industrial Group Stock Portfolios with Natural Group Detection." Mathematics 11, no. 14 (2023): 3144. http://dx.doi.org/10.3390/math11143144.

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Stock portfolio optimization is always an interesting and attractive research problem due to the variety of stock markets. To find a useful stock portfolio, metaheuristic-based approaches have been presented to obtain diverse group stock portfolios (DGSPs) by considering the diversity of stock portfolios in the past. However, in the existing DGSP algorithms, two problems remain to be solved. The first is how to set a suitable group size, and the second is that the evolution process is time-consuming. To solve these problems, in this paper, an approach using grouping genetic algorithms (GGAs) w

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Arasu, B. Senthil, Desti Kannaiah, Nancy Christina J., and Malik Shahzad Shabbir. "Selection of Variables in Data Envelopment Analysis for Evaluation of Stock Performance." Management and Labour Studies 46, no. 3 (2021): 337–53. http://dx.doi.org/10.1177/0258042x211002511.

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This study deploys data envelopment analysis (DEA) to identify the appropriate variables for the performance valuation of stocks. For this purpose, sixty-nine non-financial stocks of the Nifty 100 index of The National Stock Exchange of India Ltd (NSE) were selected as a sample for this study. We segregated the selected stocks into three groups of inputs and outputs for DEA based on fundamental indicators (financial ratios); technical indicators (momentum indicators); and both, fundamental and technical indicators. The stock performance indicators are sourced from the ACE database from financi

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Caridi, M., and R. Cigolini. "Managing safety and strategic stocks to improve materials requirements planning performance." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 7 (2002): 1061–65. http://dx.doi.org/10.1243/09544050260174256.

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This paper provides a methodology for managing safety and strategic stocks in materials requirements planning (MRP) environments to face uncertainty in market demand. A set of recommended guidelines suggest where to position, how to dimension and when to replenish both safety and strategic stocks. Trade-offs between stock positioning and dimensioning and between stock positioning and replenishment order triggering are outlined. The study reveals also that most of the decisions are system specific, so that they should be evaluated in a quantitative manner through simulation. A case study is rep

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Han, Yoo-Jin. "Measuring industrial knowledge stocks with patents and papers." Journal of Informetrics 1, no. 4 (2007): 269–76. http://dx.doi.org/10.1016/j.joi.2007.06.001.

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Jia, Yanjing, Chao Ding, and Zhiliang Dong. "Transmission Mechanism of Stock Price Fluctuation in the Rare Earth Industry Chain." Sustainability 13, no. 22 (2021): 12913. http://dx.doi.org/10.3390/su132212913.

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The transmission of stock price fluctuations of listed companies in the rare earth industry has complex characteristics. Mastering its transmission law is of great meaning to understand the relationship between the upstream and downstream of the rare earth industry chain and market investment. This article uses the time series of daily closing prices of stocks in the global rare earth industry chain in the past ten years as the research object. The Granger causality test and complex network theory were used to construct the risk transmission network of the industrial chain. We have identified

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Soni, Swapnil, M. H. Bala Subrahmanya, and Puranjoy Bhattacharya. "Real Capital Stock Estimation for Industries Using Perpetual Inventory Method: A Methodological Exploration." Indian Economic Journal 67, no. 1-2 (2019): 82–98. http://dx.doi.org/10.1177/0019466220938009.

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A study of industrial structure and growth, in terms of capital intensity and capital productivity of industries, inevitably encapsulates the requirement and associated challenges of estimation of capital stock time series in real terms. An incorrect (under- or over-) estimation of real capital stock leads to dubious conclusion and, thus, ill-informed policy implications derived from the analysis. The industrial survey database–ASI–reports the time series of capital stocks for industries in nominal (at current prices) terms instead of in real (at constant prices) terms which is more meaningful

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Kang, Sung Myun, and Chong Soo Pyun. "Herding in Large Cap Stocks during Bull Markets: Evidence from Dow Jones Industrial Stocks." GLOBAL BUSINESS & FINANCE REVIEW 19, no. 1 (2014): 59–78. http://dx.doi.org/10.17549/gbfr.2014.19.1.59.

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Yashkin, Dmytro. "Forecasting the inventory levels of an industrial enterprise in conditions of demand volatility." Marketing and Digital Technologies 4, no. 4 (2020): 82–92. http://dx.doi.org/10.15276/mdt.4.4.2020.6.

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The aim of the article is to provide tools for obtaining reliable forecasts of the level of inventories of the enterprise in conditions of volatility in demand for products. Most types of demand for industrial products are unstable, so it is important to form stocks based on demand forecasts to reduce logistics risks. The results of the analyses. Analytical tools for forecasting maximum level of inventories in conditions of volatility of demand for products of machine-building enterprises have been developed, which provides an opportunity to obtain the most reliable sales forecast and estimate

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Javed, Sarfaraz, Baaeth Atallah Aldalaien, Uvesh Husain, and Mohammed Shahfaraz Khan. "Impact of Federal Funds Rate on Monthly Stocks Return of United States of America." International Journal of Business and Management 14, no. 9 (2019): 105. http://dx.doi.org/10.5539/ijbm.v14n9p105.

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This study examines the impact of federal funds rate on monthly stocks return of the United States of America. The study made use of secondary data from 31st January 1980 to 31st December 2009 gotten from Fred Economic Data and Economic Research Federal Reserve Bank of St. Louis and the Ordinary Least Square Method was applied to perform the analysis using Eviews 9.0. The findings of this study reveal that before the crisis, the rate of interest significantly predicted monthly stock return while during the crisis; the rate of interest did not significantly predict monthly stock return. In addi

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Han, Rui-Qi, Wen-Jie Xie, Xiong Xiong, Wei Zhang, and Wei-Xing Zhou. "Market Correlation Structure Changes Around the Great Crash: A Random Matrix Theory Analysis of the Chinese Stock Market." Fluctuation and Noise Letters 16, no. 02 (2017): 1750018. http://dx.doi.org/10.1142/s0219477517500183.

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The correlation structure of a stock market contains important financial contents, which may change remarkably due to the occurrence of financial crisis. We perform a comparative analysis of the Chinese stock market around the occurrence of the 2008 crisis based on the random matrix analysis of high-frequency stock returns of 1228 Chinese stocks. Both raw correlation matrix and partial correlation matrix with respect to the market index in two time periods of one year are investigated. We find that the Chinese stocks have stronger average correlation and partial correlation in 2008 than in 200

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VÕ THỊ THÚY, ANH, and HẢI NGUYỄN THANH. "On Effects of Macroeconomic Factors on Rate of Return on Stocks on HoChiMinh Stock Exchange." Journal of Asian Business and Economic Studies 218 (October 1, 2013): 48–61. http://dx.doi.org/10.24311/jabes/2013.218.02.

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Using factor model and fixed or random effect approaches, this article studies the factors affecting the rate of return on the stocks listed on the Vietnamese stock market. The results show that the rate of return is affected by the two factors: inflation and the Nikkei index as an indicator of regional economy. The impact of inflation is much more powerful. The strongest impact of the unexpected inflation is found in industrial sector and consumption while enterprises with good business performance only suffer a milder effect. The impact of Nikkei index on local stocks is rather weak but less

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Sharma, Rishi, Maite Pons, Sarah Martin, et al. "Factors related to the decline and rebuilding of billfish stocks in the Atlantic and Indian oceans." ICES Journal of Marine Science 75, no. 2 (2017): 880–91. http://dx.doi.org/10.1093/icesjms/fsx081.

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Abstract The article examines factors related to the decline and rebuilding of billfish stocks in the Atlantic and Indian oceans. Longline effort has declined over the last 10–15 years in both oceans. This decline in fishing pressure has led to the recovery of some stocks, but some species that are caught incidentally in industrial longline fisheries remain overexploited. Using a simple moving average technique on fishing mortality trajectories, we estimated a threshold effort size of 240 million hooks for the Atlantic Ocean and 364 million hooks for the Indian Ocean where stocks start experie

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Kusuma, Maritha Nilam, Rachmanu Eko Handriyono, Talent Nia Pramestyawati, Alfida Novita Sari, Diah Listyaningsih, and Nafilah El Hafizah. "Mitigation of CO2 Emissions Based on Above Ground Biomass Assessment in Tropical Regions (Case Study: Gresik City, East Java, Indonesia)." Environmental Research, Engineering and Management 80, no. 4 (2024): 48–59. https://doi.org/10.5755/j01.erem.80.4.35259.

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Indonesia is a tropical region experiencing rapid industrial growth. Gresik City is located in East Java Province, Indonesia, and is recognized as an industrial area with major activities including nickel and steel smelting, electronics, petrochemicals, and energy production. Sukorejo and Gulomantung villages in Gresik City are coastal areas with residential conditions surrounded by industries. Industrial and residential activities in Sukorejo and Gulomantung villages emit CO2 emissions, which can enhance the greenhouse effect. One of the initial steps in controlling greenhouse gases is throug

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Cox, Bill D. "Preferred Stock: Usage And Characteristics." Journal of Applied Business Research (JABR) 9, no. 4 (2011): 33. http://dx.doi.org/10.19030/jabr.v9i4.5988.

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This study was conducted to determine the purposes for which corporations issued preferred stock and the types of characteristics attached to those issues. One hundred sixty-eight currently outstanding industrial preferred stock issues were researched. The most frequently given reasons for issuing preferred stock were to finance acquisitions and mergers, to reduce corporate debt, and for employee stock option plans. The majority of the preferred stocks studied were nonparticipating, cumulative, preferred over common as to assets, callable, convertible, and had voting rights.

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Vysochanskiy, Ilarion, Andriy Yakovlev, Iryna Samchuk, Yevhenii Volosnyk, Andrii Nekrasov, and Mariia Kupchinska. "Conditions for the formation of non-anticlinal hydrocarbon traps in zones around salt stocks of the south-eastern part of the Dnepr-Donetsk depression." Visnyk of V.N. Karazin Kharkiv National University, series Geology. Geography. Ecology, no. 56 (June 1, 2022): 24–48. http://dx.doi.org/10.26565/2410-7360-2022-56-02.

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Formulation of the problem. The southeastern part of the Dnieper-Donetsk depression has a large-scale formation of underground salt structures (stocks). The stocks are the reason for the formation of many layer structures. The authors divide these layer structures near the stocks into three types - above-stock, inter-stock, and near-stock. The most promising targets for exploration drilling are anticlinal structures (of the first and second types). Many industrial accumulations of hydrocarbons (Shebelinskoe, West-Krestishchenskoe, Efremovskoe) were found in anticlinal structures. The aim of th

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Streeck, Jan, Dominik Wiedenhofer, Fridolin Krausmann, and Helmut Haberl. "Stock-flow relations in the socio-economic metabolism of the United Kingdom 1800–2017." Resources, Conservation and Recycling 161 (June 25, 2020): 104960. https://doi.org/10.1016/j.resconrec.2020.104960.

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Material stocks are the physical basis of production and consumption and shape the dynamics of resource use and socio-economic outcomes. We present an inflow-driven, long-term estimation of material stocks for the United Kingdom, covering 12 major materials from 1800 to 2017. We find the trajectory of the UK's stocks characterized by slow increases during the 19th century, followed by rapid growth and a slowdown in recent years. After a slump following the 2007/8 financial crisis, stock growth again accelerated to currently &sim;1% per year. Per capita stocks barely increased during the 19

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Azar, Samih Antoine. "Irrelevance of inflation: The Dow stocks." Accounting and Finance Research 9, no. 1 (2020): 45. http://dx.doi.org/10.5430/afr.v9n1p45.

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The irrelevance of inflation is a proposition, inherited from corporate finance, which states that inflation is irrelevant for the valuation of nominal and real stock prices. In other terms, Net Present Values (NPVs) and stock returns are independent of the inflation rate. The issue at stake is both theoretical and empirical, although the first came much before the latter. In the empirical realm, stock returns are found to be statistically negatively related to inflation. However, and theoretically, the classical school predicted that they should be related positively one-to-one. Moreover long

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Cao, Hongduo, Tiantian Lin, Ying Li, and Hanyu Zhang. "Stock Price Pattern Prediction Based on Complex Network and Machine Learning." Complexity 2019 (May 28, 2019): 1–12. http://dx.doi.org/10.1155/2019/4132485.

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Complex networks in stock market and stock price volatility pattern prediction are the important issues in stock price research. Previous studies have used historical information regarding a single stock to predict the future trend of the stock’s price, seldom considering comovement among stocks in the same market. In this study, in order to extract the information about relation stocks for prediction, we try to combine the complex network method with machine learning to predict stock price patterns. Firstly, we propose a new pattern network construction method for multivariate stock time seri

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Bush, Clive. "Cultural Reflections on American Linguists from Whitney to Sapir." Journal of American Studies 22, no. 2 (1988): 185–212. http://dx.doi.org/10.1017/s0021875800021988.

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At the World's Fair Congress of Anthropology in Chicago in 1915 Professor O. T. Mason explained the ethnological exhibit in the following terms: “The aim was to have each leading linguistic stock of peoples represented by collections of art products and by groups of life-size figures engaged in characteristic arts and industries serially in the alcoves.” A certain cultural confidence is manifest. Language is seen as the basis for “stocks” of peoples (stocks being a favourite classificatory measure for Darwinists and Financiers), and museum humanoids, engaged in representative and atomised indu

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Atta Mills, Ebenezer Fiifi Emire, Mavis Agyapomah Baafi, Nelson Amowine, and Kailin Zeng. "A HYBRID GREY MCDM APPROACH FOR ASSET ALLOCATION: EVIDENCE FROM CHINA’S SHANGHAI STOCK EXCHANGE." Journal of Business Economics and Management 21, no. 2 (2020): 446–72. http://dx.doi.org/10.3846/jbem.2020.11967.

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Asset allocation is a critical concern for any investor in the financial market. This paper aims to prioritize five randomly selected firms from the top ten stocks by market capitalization of the Shanghai Stock Exchange (SSE) by opting for adequate financial procedures and practical criteria under uncertain conditions. Decision makers want not only the ranking order of stocks but also capital proportions to be allocated. Therefore, this study uses a hybrid multi-criteria decision-making (MCDM) approach comprising of an integrated analytic network process (ANP) and decision making trial and eva

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Anderson, Bing. "How Do the Lengths of the Lead Lag Time between Stocks Evolve? Tick-by-tick Level Measurements across Two DecadesEvolve? Tick-by-tick Level Measurements across Two Decade." Journal of Banking and Financial Economics 2022, no. 2 (2022): 49–59. http://dx.doi.org/10.7172/2353-6845.jbfe.2022.2.4.

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There has been an extraordinary decrease in order execution time on stock exchanges in the past two decades. A related question is whether there has been a similar reduction in orders of magnitude for the lengths of the lead lag time between stocks. If the answer is affirmative, and the lengths of the lead lag time have long fallen below the human reaction time, algorithms have taken over information diffusion from one stock to another. Otherwise, humans continue to be in authority. In this study, the lengths of the lead lag time within pairs of stocks of large US companies are estimated using

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Sochi, Maria, and Steve Swidler. "A Test of Market Efficiency When Short Selling Is Prohibited: A Case of the Dhaka Stock Exchange." Journal of Risk and Financial Management 11, no. 4 (2018): 59. http://dx.doi.org/10.3390/jrfm11040059.

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A ban on short selling exists on several exchanges, especially in emerging markets. In most cases, short selling has always been prohibited, thus making it difficult to examine the ban’s effect on price discovery. In this paper, we consider data from the Dhaka Stock Exchange (DSE) to test for a short selling ban on market efficiency. The analysis examines runs in daily stock returns and then forms a distribution of return clusters according to their duration. Using Monte Carlo simulation, we find that runs of longer duration appear more frequently in the DSE data than we would expect in effici

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Bao, Rui, Meihan Chen, and Siqi Zhang. "The impact of the Russia-Ukraine war on European energy stock prices." BCP Business & Management 32 (November 22, 2022): 418–24. http://dx.doi.org/10.54691/bcpbm.v32i.2961.

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The world economy is developing to a new level with more challenges and more opportunities. However, the war between Russia and Ukraine has brought the world's energy resources into a tough situation. In this essay, we are going to set UK’s stock market as an example, to discuss since the war began in February 2022, the influence that brought to the European energy stock prices. We found two empirical results from the model. First, the positive correlation is existed between the excess return of energy stocks and the excess return of the market portfolio and the return of oil prices; Second, t

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Chan, Lupe S. H., Amanda M. Y. Chu, and Mike K. P. So. "A moving-window bayesian network model for assessing systemic risk in financial markets." PLOS ONE 18, no. 1 (2023): e0279888. http://dx.doi.org/10.1371/journal.pone.0279888.

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Systemic risk refers to the uncertainty that arises due to the breakdown of a financial system. The concept of “too connected to fail” suggests that network connectedness plays an important role in measuring systemic risk. In this paper, we first recover a time series of Bayesian networks for stock returns, which allow the direction of links among stock returns to be formed with Markov properties in directed graphs. We rank the stocks in the time series of Bayesian networks based on the topological orders of the stocks in the learned Bayesian networks and develop an order distance, a new measu

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Su, Chi-Wei, Lu Liu, and Kai-Hua Wang. "Do Bubble Behaviors Exist in Chinese Film Stocks?" SAGE Open 10, no. 4 (2020): 215824402098330. http://dx.doi.org/10.1177/2158244020983300.

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This article investigates bubbles in the Chinese film industry to reveal the industry’s boom and bust process that influences employment, citizen’s livelihoods, and even economic growth. We adopt the film stock index to reflect the industry’s trajectory and employ the generalized and backward sup augmented Dickey–Fuller tests to detect bubble periods. Empirical results indicate that there are three positive bubbles in 2007, 2013, and 2015, indicating that the film market continues to expand after temporary frustrations. Meanwhile, one negative bubble is found in 2019, which demonstrates that t

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Tazik, Ali, Fatemeh Tazik, Athar Tazik, and Amir Hassan Susaraie. "Evaluation of the Relationship between Macroeconomic Variables and Industrial Price Index in Tehran Stock Exchange." Journal of Management and Accounting Studies 8, no. 2 (2020): 31–38. http://dx.doi.org/10.24200/jmas.vol8iss2pp31-38.

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Objective: This study investigates the separate relationships between three macroeconomic variables—the consumer price index, oil prices, and foreign exchange rates—and the consolidated price movements of a 28-industry index of stocks listed on the Tehran Stock Exchange during 2010–2014. Methodology: We hypothesize a significant and direct relation between each macro variable and price movements of the 28-industry index. To test our hypotheses, we use econometric methods that include ordinary least squares (OLS), linear regression, the Dickey–Fuller test, the Phillips–Perron unit root test, th

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Gaspari, Marco, Margherita Fabris, Elisa Saler, Marco Donà, and Francesca da Porto. "Enhancing Asset Management: Rapid Seismic Assessment of Heterogeneous Portfolios." Buildings 15, no. 14 (2025): 2560. https://doi.org/10.3390/buildings15142560.

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The seismic risk assessment of large building stocks is crucial for informed asset management in earthquake-prone regions, providing decision-support for retrofit intervention planning. Many existing methodologies focus on a single structural typology or asset class (e.g., ordinary buildings or industrial facilities), thus limiting their applicability to mixed portfolios. This study proposes a comprehensive and adaptable methodology for the seismic assessment of diverse building stocks—a cross-typology approach encompassing masonry, reinforced concrete (r.c.), precast r.c., and steel structure

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Lee, Tzai-Chiao, Muhammad Khalid Anser, Abdelmohsen A. Nassani, Mohamed Haffar, Khalid Zaman, and Muhammad Moinuddin Qazi Abro. "Managing Natural Resources through Sustainable Environmental Actions: A Cross-Sectional Study of 138 Countries." Sustainability 13, no. 22 (2021): 12475. http://dx.doi.org/10.3390/su132212475.

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Management of natural resources is pivotal for sustained economic growth—the increasing ecological footprints causing biocapacity deficit threaten the resource conversation agenda. The study identified the potential causes and consequences of natural resource depletion in a broad cross-section of 138 countries. Ecological footprints, international migrant stocks, industrial value-added, and population growth influenced natural resource capital across countries. The results show that ecological footprints, industrial value-added, and population growth are the detrimental factors of resource cap

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