Main Stock Research Articles

Analysis of nowadays fisheries and the recommendations of the regulation of the main commercial fish species stocks exploitation in the Dniestrovskiy liman

The dynamics of the catch of the main commercial fish species of the Dniesterovskiy liman are presented. The sizeage composition of the gibel carp Carassius gibelio (Bloch, 1783), common carp Cyprinus carpio (Linnaeus, 1758), common bream Abramis brama (Linnaeus, 1758), roach Rutilus heckelii (Nordmann, 1840) and common pike-perch Sander lucioperca (Linnaeus, 1758) from commercial catches in the Dniesterovskiy liman in 2012–2021 was analyzed. The obtained data were used to analyze the state of fish stocks and to obtain the recommended optimal indicators of their exploitation using modern models BSM, LBB and LB-SPR. The overexploitation of gibel carp in the Dniesterovskiy liman was observed accordingly BSM, LBB and LB-SPR results. A sharp increase in the level of exploitation of gibel carp has led to its stock decline. The level of common carp exploitation in 2018–2021 has approached the optimal value. The currently state of its population in the Dniesterovskiy liman is relatively good. Commercial exploitation of the common bream and roach remains at an excessive and at a relatively moderate level respectively. The catch and CPUE of the pike perch have been declined significantly in recent years. The stock of this species is in a very unfavorable condition. The recommendations for further use of the main commercial fish species in the Dniesterovskiy liman are given. Accordingly obtained results the value of the maximum sustainable yield (MSY) of gibel carp is 813 tons with the optimal average commercial length in the catch – 18.5–19 cm. MSY of common carp is set at 92.7 tons with the optimal length in the catch – 39.9 cm, common bream – 148 tons with an optimal length in the catch no less than 30.0 cm. MSY of roach is set at 57.7 tons. The value of pike perch biomass is significantly lower than the critical value of Bpa=0.5 BMSY – its catch should not exceed 5 tons. The strict compliance with the Rules (1998) and Regimes of commercial fishery, as well as commercial fishing regulating by limiting the use of fishing gear are the most effective methods of the abundance increasing and rational use of water biological resources of the Dniesterovskiy liman.

Distribution of soft-bottom benthic molluscs in the Gulf of Oran (Western Algeria)

A total of 46 samples were taken in the softbottom of the Gulf of Oran, in order to study the nature of the sediments and the spatial distribution of the mollusc communities. As a result of sampling in the study area, at depth range (30 m -106 m), a total of 29 species were identified, included in two classes: Gastropoda and Bivalvia. The use of multi-variate statistical analyzes, as well as particle size analysis, made it possible to identify the main mollusc communities. Six mollusc communities were defined from faunistic and sedimentologic affinities. The malacological fauna of the Gulf of Oran is dominated by Saccella commutata (33.33%), Limatula subauriculata (20.83%) and Nucula sulcata (20.83%). The main ecological stocks are mixicole and coastal detritus species. The malacofauna of the Gulf of Oran is scarce and less diversified due to the nature of the soft bottoms (sand and gravel) and the absence of terrigenous inputs.

Measuring investor sentiment of China’s growth enterprises market with ERNIE

Investors will have different trading emotions in the process of stock market trading, which often affects investors’ judgment on the stock market, which makes the issue of investor sentiment in the stock market particularly important. Compared with institutional investors who are dominant in the U.S. stock market, retail investors who are dominant in the Chinese stock market are more susceptible to stock market sentiment. The volatility of China’s growth enterprise stock market, known as China’s Nasdaq, is significantly stronger than that of the main board stock market. This paper is an analysis of investor sentiment in GEM based on the enhanced representation through Enhanced Representation through Knowledge Integration (ERNIE) model. The relationship between investor sentiment index and GEM Index return was analyzed through a semi-covariance method and regression model. The study argues that the proposed proxy could well reflect the investor sentiment of the GEM index and investor sentiment in online reviews had a significant impact on GEM index return.

Monetary Policy and Asset Price Overshooting: A Rationale for the Wall/Main Street Disconnect

We analyze optimal monetary policy when asset prices influence aggregate demand with a lag (as is well documented). In this context, as long as the central bank's main objective is to minimize the output gap, the central bank optimally induces asset price overshooting in response to the emergence of a negative output gap. In fact, even if there is no output gap in the present but the central bank anticipates a weak recovery dragged down by insufficient demand, the optimal policy is to preemptively support asset prices today. This support is stronger if the acute phase of the recession is expected to be short lived. These dynamic aspects of optimal policy give rise to potentially large temporary gaps between the performance of financial markets and the real economy. One vivid example of this situation is the wide disconnect between the main stock market indices and the state of the real economy in the U.S. following the Fed's powerful response to the Covid-19 shock.

DYNAMICS OF DEVELOPMENT AND CURRENT STATUS OF THE NOVOALEXANDROVSKY DRAFT HORSE AT THE BRANCH “DIBRIVSKY STUD FARM № 62” SE “UKRAINE HORSE BREEDING”

The article analyzes the genealogical structure of the Novolexandrov draft breed of the Dibrivsky stud farm No. 62. As of today, 49 representatives of this breed, including 3 breeding stallions, 28 mares of the main herd and foals are kept at the branch “Dibrivsky stud farm No. 62” of SE “Ukraine horse breeding”. The stallions belong to three male lines which are Koketlyvyi, Tantal and Hradus. There are two mare’s families that are 166 Repetytsiyi (n=9), Roznaryadky (n=3) and three groupsnamely 239 Tetivy (n=8), 176 Rudy (n=1), Faktury (n=2). These mare’s families and groups were formed precisely at the Dibrivsky stud farm. Four more groups have been formed that are Firma (n=5), Ryabinka (n=3), Zherukha (n=3) i Ryabushka line (n=2). The largest number of mares families belongs to the Tantal male line (23 heads), Koketlyvyi (7 heads), Hradus (5 heads) and to the Kapiten line, which went completely into the mare’s families, (1 mare). The variability of the measurements of the main stock of horses and the milk productivity of mares from 2015 to 2021 were studied. The body measurements of mares have increased significantly in recent years, which leads to the consolidation of representatives of the breed and contradicts the requirements for the measurements of the Novolexandrov draft breed. Twenty-three mares exceed the maximum threshold of the "withers height" indicator, which is 76.7% of the brood stock. At the Dibrivsky stud farm a seasonal milking of mares lasts from May 1 to October 1 (5 months or 150 days). The milk productivity of mares decreased by 275.6-454.6 liters from 2015 to 2021, the coefficient of variation increased from 18.33 to 38.90 with a decrease in the number of lactating mares. The question of the correlation between live weight and milk productivity is very relevant, especially during forming a dairy herd from mares of draft breeds which are characterized by high milkability. Many authors have studied the influence of live weight on dairy productivity, as one of the indicators of animal development. Formulas for calculating live weight are based on measurements such as withers height and chest girth. Accordingly, if the measurements increase, the live weight of the animal increases. The indicators of reproduction of mares of the main composition for 11 years were determined. The average fertility of mares for 11 years is 70.2%. The average yield of foals per 100 mares is 63.9% with 95.6% successful foaling. This foal crop can be justified by the dependence on the % of fertilized mares (r = 0.67; p<0.01). This correlation was accurately observed in 2018-2019, with a fertilization rate of 54.5 and 55.2, the foal crop was 54.5 and 53.3 accordingly with 100% successful foaling. Losses of foals due to abortions, weak and stillborns have amounted to an average of 3.3%for 11 years, which does not exceed technological requirements (5%).

УСТАНОВЛЕННЯ ЗАЛЕЖНОСТІ ГЕОМЕТРИЧНИХ ПАРАМЕТРІВ ОЧИСНИХ (КОМПЕНСАЦІЙНИХ) КАМЕР ДЛЯ ВПРОВАДЖЕННЯ ТЕХНОЛОГІЙ АКТИВНОГО КЕРУВАННЯ СТАНОМ ГІРСЬКОГО МАСИВУ

Purpose. Increasing the efficiency of mining of rich iron ores by sublevel caving methods based on the development of the technology of active control of the state of a mountain massif, which will ensure the stability of the outcrops of exposure of drawn stopes (undercuts)and the quality of the mined ore mass. Methodology. To achieve the goal, a complex of modern research methods has been used, which includes the analysis of literary sources, design and construction documentation and practice of developing iron ore deposits at great depths, theoretical generalization of laboratory and industrial experiments, the method of functional characteristics for determining the permissible sizes of structural elements of underground mining methods, systemic economic, graph-analytical and correlation analysis. Results. It has been established that the volumes of drawn stopes (undercuts) with flat inclined and vertical exposures are characterized by a larger volume than those with flat horizontal and vertical exposures. Also, the maximum possible stable parameters are determined for the exposure of the drawn stopes (undercuts), which are formed with the help of smooth blasting. Scientific novelty. Reserves for increasing the efficiency of extraction of rich iron ores by the sublevel caving methods have been determined based on the study of the dependences of geometric parameters of the depth of drawn stopes (undercuts) and the intensity of stoping. Due to substantiation of the above parameters, the intensification of the processes of stoping is carried out, which is an integral part of the active control of the state of a rock massif during underground mining of iron ore deposits. Practical significance. The developed technological solutions allow to increase the volume of pure ore extraction by 5–51%, depending on the mining-geological, mining-technical and geomechanical conditions of the development of rich iron ore deposits and the intensity of stoping and, as a result, to reduce losses by 2.6–4.6% and ore weakening by 2.8–5.2%, to improve absolute quality of the extracted ore mass by 0.8–1.5%, and to increase the economic efficiency of the development of mining units by10.1–27.5%. Conclusions. It has been established that during the development of deposits of rich iron ores with a strength coefficient of f=4–6, an average and below average stability and a thickness of 15–40 m, which are concentrated in the depth range of 1200–1400 m, it becomes possible to form exposure of drawn stopes (undercuts) with a volume of up to 70% of the main stock of the stoping panel, with an increase in the intensity of the technological process of ore drawingup to 8.8 t/m2 per day.

СУЧАСНІ ФІНАНСОВІ ТА ТОВАРНІ РИНКИ: ХАРАКТЕРИСТИКИ ТА ВИМІРИ

Modern financial systems are global in nature. The article reveals the current state of world financial markets. The example of stock index trends shows the main trends in global financial markets as a result of global challenges (the Covid-19 pandemic and the war in Ukraine). The trends of stock market indicators in different regions of the world are analyzed. The article reveals the current factors that affect the trends of stock indices. The influence of economic and political consequences caused by the pandemic and war on the further development of the world economy is studied. The role of geopolitical events on the development of commodity markets, in particular gold and oil, is shown. The main stock indices and how they react to changes in the world economic environment are analyzed. Thus, the article shows that negative global signals are causing concerns about rising inflation around the world, and rising rates are affecting investor sentiment. It has been proven that financial markets can calm down from the global decisions of international leaders and organizations. However, very often geopolitical decisions show signs of indecision, which affects the continuation of hostilities in Ukraine and contributes to the subsequent fluctuations of financial indicators. t is shown that the volatility of financial markets will remain high in the last week of June, due to the planned expiration of contracts for derivative instruments in June and political decisions of the G7 countries, which may ban Russian gold imports on Tuesday, June 28. The article analyzes the characteristics of the trends of major world stock indices and reveals the possible prospects for their development, as well as identifies the main factors of stock market trends at the present stage of development. The current state of the financial market of Ukraine is studied.

INFLUENCE OF THE SOUTHEAST ASIAN REGIONAL STOCK EXCHANGE ON THE INDONESIA STOCK EXCHANGE FOR THE PERIOD 2017-2018

This study aims to determine the effect of the South East Asia’s major stock exchanges on the Indonesia Stock Exchange from 2017 to 2018. The main stock exchanges used as independent variables are ^KLCI (Malaysia), ^STI (Singapore), ^SET (Thailand), and ^PSEI (Phillipines). The dependent variable used is ^JKSE (Jakarta Stock Exchange, Indonesia). There are 478 data sets that can be processed, which have been synchronized. By using multiple regression analysis, the results obtained: ^KLCI has a negative and insignificant effect on ^JKSE, ^STI has a negative and insignificant effect on ^JKSE, ^SET has a positive and significant effect on ^JKSE, and ^KLCI, ^STI, ^SET, ^PSEI simultaneously has a significant effect on ^JKSE in the period 2017 to 2018.

Temporal and spatial genetic variation of Engraulis encrasicolus in the Adriatic Sea

Small pelagic fish play a key role in the marine ecosystem, controlling predator abundance and regulating primary production rates by foraging on plankton. Alterations induced at different ecological levels by fishing activities and/or environmental changes are affecting the reproductive success of several small pelagics, including European anchovy (Engraulis encrasicolus), which is a major target of Adriatic mid-water trawl and purse-seine fisheries. In this study, we evaluated short-term genetic changes of the species in the Adriatic Sea by applying molecular markers in samples of three generations of European anchovy. Thirteen polymorphic microsatellite markers and a mitochondrial gene were used in cohorts of adults and larvae, collected at three sites in the north-east, central, and southern Adriatic Sea in 2015. Furthermore, temporal, and spatial genetic variation was assessed by comparing the above dataset with a sample of adult anchovy collected in 2012 at three sites close to those sampled in 2015. Expected heterozygosity was higher in adults than in larvae, suggesting a loss of genetic diversity and uneven reproduction. In addition, a comparison of the two datasets demonstrated a change in the anchovy population structure from 2012 to 2015. In the reproductive event of 2015, this change led the two main genetic stocks described in the Adriatic Sea to merge into one. We suggest that the population structure of European anchovy in the north-eastern Adriatic may be influenced by changes in environmental parameters and by periodic alterations in the temporal pattern of population connectivity.

Strategies of portfolio investment with estimates of bull and bear markets

The financial market has non-linear patterns, with different return behavior in bull versus bear markets. This article uses multivariate model estimates to study portfolios in changing conditions, and develops investment strategies for portfolios in light of uncertainty about the bear or bull status of the stock market. Portfolios were optimized for the main stocks listed on the Brazilian market index Ibovespa. The portfolios proposed with estimates of changing market status outperformed others over the analyzed period, with rebalancing adjustments made either weekly or monthly.

Companies’ Stock Market Performance in the Time of COVID-19: Alternative Energy vs. Main Stock Market Sectors

The paper aims to detect the differences in stock market performance between companies from the alternative energy sector and main stock market sectors in the first and second years of the COVID-19 pandemic. We used Global Industry Classification Standard to analyse eleven main stock market sectors and the alternative energy sector. Based on the one-factor variance analysis—ANOVA, we reveal the statistically significant differences between the analysed stock market sectors in both 2020 and 2021. The analysis implied that the performance of stock market companies during COVID-19 is sector-specific. Tukey’s Honestly Significant Difference (HSD) test for pairwise comparison indicates that the alternative energy sector shows the most differentiation. Its average rate of return in 2020 is the highest and is significantly different for all eleven stock market sectors, while the top constituents from the conventional energy and financial sectors suffered the most. In 2021, a reverse trend in the stock prices can be observed. Companies from the conventional energy and financial sectors achieved the highest positive average weekly rates of return among all of the analysed stock market sectors, while the alternative energy sector performed significantly worse than the other sectors did. Nevertheless, throughout the entire analyses period of 2020–2021, the companies from the alternative energy sector turned out to be the biggest stock market beneficiaries. This study might imply that the COVID-19 pandemic has not hampered but has instead accelerated growing concerns about the environment and climate change.

Impact of risk disclosures on IPO performance: Evidence from India

The main aim of the paper is to explore the performance of Indian IPOs in the context of risk disclosures in the offer documents. For the purpose of assessing the impact of risk disclosure factors on initial returns, subsequent returns and post issue risk of IPOs, the study has implemented ordinary least square regression. The study has analysed 109 IPOs that were listed in two main Indian stock exchanges (BSE and NSE) from 2015–2019. Outcomes of the present study are contrary to the previous studies which showed that information disclosure reduces the asymmetry, which is touted as the main reason for underpricing, the present study did not find any association between risk disclosures and underpricing. Quantitative risk measures showed positive association with 1-year returns, but qualitative measures failed to show any association. The post issue risk of the firms showed positive association with external risk factors listed in prospectus and negative association with liquidity. The results of this study are useful for the investors as based on the results they can make decisions about investing in Indian IPOs. Besides, the managers of issuing companies and lead managers of issues can use the results of this study to improve the pricing of issues. To the best of the authors’ knowledge no study has been done before in the Indian context which is specific to risk disclosures (quantitative and qualitative measures) and IPO performance. The present study seeks to fill this gap and contribute to the existing literature.

The Relation Between Information Asymmetry and Firm Value: Empirical Evidence from Vietnamese Listed Firms

Managers normally have an advantage over the market in predicting firm-specific events. This creates information asymmetry between managers of the firm and the market. The purpose of this paper is to investigate the relationship between firm value and information asymmetry in Vietnam. Our data include 202 non-financial companies with 606 firm-year observations collected from the two main stock exchange markets in Vietnam including Hanoi Stock Exchange and Ho Chi Minh Stock Exchange, covering 3 years from 2017-2019. The finding of this study indicates that two variables measuring information asymmetry (ASYDISP, ASYDUM) negatively impact firm value. Besides, control variables such as return on assets, leverage, firm size, and intangible assets are found to have significant effects on firm value.

Methodological Foundations of the Risk of the Stock Markets of Developed and Developing Countries in the Conditions of the Crisis

The development of a methodology for the growth of the stock market through a deep transformation of the economic development system and introduction of digital technologies. The article is devoted to the study of the development of stock markets’ actual problems that affect the redistribution of capital between sectors of the economy by using tools and mechanisms between the financial and stock markets. The purpose of the study is to improve the regulatory segment of the stock market in order to further develop stock exchanges, integrate them into the global economic system, and attract investment in the economy. To achieve the goal, the following tasks were performed: the development of the London Stock Exchange was analyzed and the profit growth was determined; a comparative capitalization of the main stock instruments was carried out; internal factors of influence on the stock market were determined. The problem of the international stock market in all countries with emerging markets, first of all, lies in the improvement of the institutional environment, which is a prerequisite for the stability of the stock market. To analyze the development of stock markets, natural technical sciences were used to identify objective patterns, and determine the state and motives, using various methods and techniques: logic, generalizations, specific methods of cognition, comparison, and graphics. In the development of the stock market, the economy establishes certain natural actions in the real sector of the economy through a regulatory system of measures, and the needs of investments in the real sector of the economy, methods, and tools are used to achieve the desired results. Statistical, analytical, and dynamic methods were used. The essential foundations of the importance of stock markets and the economy are revealed; we discuss the penetration of knowledge and the conduction of a deep transformation through the introduction of digital technologies in all spheres of the economy, including the transformation of the development of the stock and financial markets nowadays. Results. The assessment of the state of securities markets in developed and developing countries is made on the example of the largest stock exchanges in Brazil and the United Kingdom. The features of the effective functioning of stock markets are revealed. The hypothesis is put forward about the insufficiency of research on the stock market of developed and developing countries and the mechanisms used having an insufficient impact on the development of the economy. From this point of view, an analysis of the dynamics of the current state of the issuers’ number and the dynamics of profitability of developed markets is carried out, the comparative capitalization volumes of the stock markets of Great Britain and Brazil are evaluated, and the weaknesses of their functioning are identified. Conclusions. The conducted research shows that countries, where stock markets are successfully functioning and developing, are catalysts for economic development and the accumulation of funds. Each country applies models of stock market development and a strategy for its regulation in accordance with the concept of a functioning market and its maturity.

The Mediating Role of Job Satisfaction in the Relationship between Personality Traits and Organizational Commitment of Public Sector Employees in Hanoi City

Managers normally have an advantage over the market in predicting firm-specific events. This creates information asymmetry between managers of the firm and the market. The purpose of this paper is to investigate the relationship between firm value and information asymmetry in Vietnam. Our data include 202 non-financial companies with 606 firm-year observations collected from the two main stock exchange markets in Vietnam including Hanoi Stock Exchange and Ho Chi Minh Stock Exchange, covering 3 years from 2017-2019. The finding of this study indicates that two variables measuring information asymmetry (ASYDISP, ASYDUM) negatively impact firm value. Besides, control variables such as return on assets, leverage, firm size, and intangible assets are found to have significant effects on firm value.

The Relation Between Information Asymmetry and Firm Value: Empirical Evidence from Vietnamese Listed Firms

Managers normally have an advantage over the market in predicting firm-specific events. This creates information asymmetry between managers of the firm and the market. The purpose of this paper is to investigate the relationship between firm value and information asymmetry in Vietnam. Our data include 202 non-financial companies with 606 firm-year observations collected from the two main stock exchange markets in Vietnam including Hanoi Stock Exchange and Ho Chi Minh Stock Exchange, covering 3 years from 2017-2019. The finding of this study indicates that two variables measuring information asymmetry (ASYDISP, ASYDUM) negatively impact firm value. Besides, control variables such as return on assets, leverage, firm size, and intangible assets are found to have significant effects on firm value.

The Mediating Role of Job Satisfaction in the Relationship between Personality Traits and Organizational Commitment of Public Sector Employees in Hanoi City

Managers normally have an advantage over the market in predicting firm-specific events. This creates information asymmetry between managers of the firm and the market. The purpose of this paper is to investigate the relationship between firm value and information asymmetry in Vietnam. Our data include 202 non-financial companies with 606 firm-year observations collected from the two main stock exchange markets in Vietnam including Hanoi Stock Exchange and Ho Chi Minh Stock Exchange, covering 3 years from 2017-2019. The finding of this study indicates that two variables measuring information asymmetry (ASYDISP, ASYDUM) negatively impact firm value. Besides, control variables such as return on assets, leverage, firm size, and intangible assets are found to have significant effects on firm value.

The role of industrial parks in formation of additional cost for petroleum products in refining industry of Azerbaijan

The paper analyzes the current state of industry, which has special role in Azerbaijan economy, reveals the major problems in this sphere, and shows the perspectives of more efficient use of existing potential in improvement of industrial production and increase of product range. Therefore, one of the main research principles is the formation of additional cost for petroleum products due to the more efficient use of oil factor, which is the major criterion in Azerbaijan industry, providing currency incoming to the country. For these purposes, based on the statistic data obtained through various sources, the analysis of significant aspects such as the design and capacity of production in oil and non-oil sector, the current state of main stocks, investments in the field and their sources, external trade turnover of industrial goods has been carried out. The effect of the trends seen in these spheres over the years on the country’s economy in a whole is justified. The significance of the industrial parks is marked in the organization of new and non-traditional production areas, in the increase of production range, diversification of export and reduction of dependence on the import for numerous types of goods, improvement of efficiency in these spheres as well.

A Genetic Basis for Improving the Reproductive Qualities and Productivity of South-Kazakh Merinoes.

Food shortages may be among the most significant negative consequences of overpopulation. In order to meet the nutritional needs of livestock origin, the number of available animals cannot be increased; however, ways must be sought to increase production per livestock unit. Livestock breeding is the science and art of establishing genes that are effective in the economical production of livestock, which creates superior livestock and poultry. The quality of the main stock of animals, the characteristics of the initial population according to the main characteristics of breeding, biological and internal characteristics, biochemical parameters of sheep blood with different genotypes, and its economic efficiency have been studied to achieve the aim of the present study. The animal subjects in this study were the South Caucasian merino sheep (Group I) and the mixed breed sheep (male of Australian merino x female of South Kazakhstan merino) (Group II). The age-related changes in the body weight of the resulting offspring were studied by weighing them at birth and 4, 7, and 18 months of age. Moreover, external body mass measurements were taken from these animals at the same time. In addition, absolute, daily average, and relative increases in their live weight were determined based on the weighting data and the considered blood parameters. According to the results of the present investigation, relatively high values of variability coefficients of blood acid capacity, globulin content, aldolase activity, alkalinity, and acid phosphatase were reported. The levels of total protein, albumin, globulin, and haptoglobin of the second group were 7.42%, 27.64%, 12.9%, and 9.7%, respectively, which had a significant increase, compared to those in the first group (P<0.05). The scientific research data are reflected and proved in this paper, which can serve as a specific contribution to zootechnical science to use the breeding-tribal work in practice and conditions of different forms of ownership. Moreover, the results of this study can be useful in the improvement of breeding-tribal work and technology of high quality, compass well as competitive and ecologically clean sheep production in the conditions of maximum year-round seasonal use of foothill and foothill-steppe pastures in the south of Kazakhstan.

An Optimal Weighted Combined Model Coupled with Feature Reconstruction and Deep Learning for Multivariate Stock Index Forecasting

Stock index prediction plays an important role in the creation of better investment strategies. However, prediction can be difficult due to the random fluctuation of financial time series. In pursuit of improved stock index prediction, a hybrid prediction model is proposed in this paper, which contains two-step data pretreatment, double prediction models, and smart optimization. In the data pretreatment stage, in order to carry more information about the prediction target, multidimensional explanatory variables are selected by the Granger causality test, and to eliminate data redundancy, feature extraction is inserted with the help of principal component analysis; both of these can provide a higher-quality dataset. Bi-directional long short-term memory and bi-directional gated recurrent unit network, as the concurrent prediction models, can improve not only the precision, but also the robustness of results. In the last stage, the proposed model integrates the weight optimization of the cuckoo search of the two prediction results to take advantage of both. For the model performance test, four main global stock indices are used. The experimental results show that our model performs better than other benchmark models, which indicates the potential of the proposed model for wide application.