bluuebunny/crossref_metadata_2025 huggingface dataset:
A dog presenting with syncope due to two different etiologies
Authors: Ogawa Mizuki , Miyakawa Hirosumi , Hsu Huai , Miyagawa Yuichi , Takemura Naoyuki
Published: October 2022

Objective: The treatment of syncope depends largely on its possible etiology. Therefore, identifying the cause of syncope is very important in treatment planning. Herein, we report an etiology of syncope caused by pulmonary hypertension (PH) associated with canine filariasis, followed by syncope due to bradyarrhythmia 1 year later.
Materials and Methods: An 8-year-old male English Cocker Spaniel was referred to our hospital for a second opinion regarding syncope that the dog had started experiencing approximately 2 months prior. Based on the examination findings, we diagnosed that the fainting was due to heartworm disease and associated PH. After increasing the dose of pimobendan (0.50 mg/kg, q12h), the syncope subsided. However, syncope recurred on the 215th day of the first episode.
Results: The findings that differed from those during the initial examination were that car¬diac arrest was observed for approximately 5 sec during auscultation, along with sinus arrest. Therefore, to further investigate for syncope, a Holter electrocardiograph was obtained for 3 days. Consequently, sinus arrest was identified as the etiology of the recurrent syncope, and the patient was diagnosed with sick sinus syndrome, Rubenstein classification type II. Following cilostazol (10 mg/kg, q12h) administration, the syncope subsided.
Conclusion: This case reports syncope in a dog, which typically occurs due to different etiologies. When a dog has PH, it may be important to think about the possibility of arrhythmias caused by a bigger right heart.
Online anatomy teaching during the COVID-19 pandemic: assessing the perceptions of undergraduate veterinary medical students
Authors: Mohamed Reda , Benjamin Lisa , Sahu Pradeep
Published: October 2022

Objective: To explore veterinary students’ perceptions of online anatomy teaching during the COVID-19 pandemic.
Materials and Methods: A cross-sectional study was conducted at the School of Veterinary Medicine, where we collected data from year 1 and 2 undergraduate students. A Google Form link to the questionnaire and an introductory message were sent via email to all 68 students who had participated in an online anatomy class between March 2020 and May 2021.
Results: The response rate was 82.2% (56/68). Most students were female (71.43%) and between the ages of 18 and 22 years old (83.93%). Overall, 58.1% of the students found it difficult to learn online anatomy, and most (82%) agreed that it was difficult to learn practical topics online. Nevertheless, 58.9% of the responding students recommended the continued use of online strategies in teaching this subject. Students reported that they could communicate with the lecturer and receive feedback. Perceived benefits of online learning included the convenience of attending class at home and having more available time, as well as the availability of prerecorded videos of course topics.
Conclusions: During the pandemic, students got the opportunity to attend online classes from home. Students thought that online practical anatomy was less useful, and this is an area where new ideas can be suggested to help students see how anatomical structures work.
Identification of peste des petits ruminants virus along with co-infecting diseases of goats in Bangladesh
Authors: Sultana Sajeda , Pervin Munmun , Sultana Nazneen , Siddique Mahbubul , Islam Md , Khan Mohammad
Published: October 2022

Objective: Peste des petits ruminants (PPR) virus is the main infectious cause of goat mortality in Bangladesh, and co-infection may make diseases more severe. This study aimed to detect PPR and co-infecting diseases in goats.
Materials and Methods: One hundred goats suspected to be infected with the PPR virus were collected from various areas of Mymensingh district, Bangladesh. A systemic post-mortem examination was carried out on PPR-suspected goats. Lungs, spleen, and lymph nodes (pre-scapular) were used for ribonucleic acid extraction, whereas lungs and mesenteric lymph nodes were used for deoxyribonucleic acid extraction. Seven-pair primer sets were used for molecular detection of pathogens specific for PPR, goat pox, contagious ecthyma (Orf), foot and mouth disease (FMD) virus, Klebsiella sp., and Mycobacterium sp. Reverse transcriptase-polymerase chain reaction (RT-PCR) or polymerase chain reaction (PCR) were used to find the exact cause.
Results: Out of 100 PPR-suspected goats examined, 55 goats were confirmed as PPR-detected by RT-PCR. Among the 55 PPR-positive goats, 2 were co-infected with goat pox, 2 with tuberculosis, 10 with Klebsiella sp. infection, and 6 with FMD as detected by PCR and RT-PCR. Moreover, 12 goats were co-infected with PPRV and fascioliasis.
Conclusion: About 58% of PPR virus-infected goats were co-infected with other organisms. There is a need to design technology to detect the state of co-infectivity at its early onset and future preventive and therapeutic strategies for co-infecting diseases. This is the first study in Bangladesh to describe co-infecting diseases of goats along with PPR.
The effect of the use of cassava tuber (Manihot esculenta) and Indigofera zollingeriana leaf flour combination as a source of energy supplemented with citric acid in ration on broiler small intestine characteristics and productivity
Authors: Palupi Rizki , Lubis Fitri , Pratama Anggriawan
Published: October 2022

Objective: The study aimed to determine the effect of using a combination of cassava tuber (Manihot esculenta) and Indigofera zollingeriana leaf flour as an energy source supplemented with citric acid in the ration on performance, carcass quality, digesta pH, viscosity, and the number of villi in the intestines of broilers.
Materials and Methods: The research design was completely randomized with five treatments and five replications, each containing four broilers. The treatment was a substitution of corn in the ration with a combination of cassava tuber and I. zollingeriana leaf (CIF): without CIF, 5% CIF substitute for corn + 0.2% citric acid, 10% CIF substitute for corn + 0.2% citric acid, 15% CIF corn substitute + 0.2% citric acid, and CIF corn substitute + 0.2% citric acid. Each treatment ration was supplemented with 0.2% citric acid. The variables that were looked at were ration consumption, body weight gain, feed conversion, live weight, percentage of the carcass, percentage of abdomi¬nal fat, pH, viscosity, and the number of broiler villi.
Results: This study showed that the combination of CIF flour supplemented with 0.2% citric acid had a significant effect (p < 0.05) on body weight gain, ration conversion, live weight, carcass percentage, and the number of villi in broiler intestines. But it did not have a significant effect (p > 0.05) on the amount of feed eaten, the amount of fat in the abdomen, the pH of the digesta, or the thickness of the broilers’ blood.
Conclusions: The combination of CIF flour at a level of 10% supplemented with 0.2% citric acid can be used as an energy source to replace corn without having a bad effect on production performance, carcass quality, and small intestine characteristics of broilers.
Current state of poultry waste management practices in Bangladesh, environmental concerns, and future recommendations
Authors: Rahman Md , Hassan Alamgir , Hossain Ismail , Jahangir Mohammad , Chowdhury Emdadul , Parvin Rokshana
Published: October 2022

This review paper focuses on the current state of poultry waste generation, composition, and management techniques in commercial poultry farms and trading in Bangladesh, to reduce pol¬lution and generate economic benefits from poultry waste. It also underlines the negative impact of poultry waste disposal on the environment. In Bangladesh, collection of poultry waste into bags and, subsequently, direct use as fertilizer in agricultural fields and aquaculture is common, while alternative disposal methods such as composting and biogas generation are now attracting commercial poultry producers. Direct use of poultry manure results in poor air and soil quality, environmental deterioration, detrimental effects on global health, climate change due to high levels of atmospheric ammonia, and the creation of significant amounts of greenhouse gases. Lack of knowledge and investment, as well as high demand for free land for composting, are important obstacles. Future research on precise waste characterization improved understanding of poultry waste management, and increased efforts on developed waste disposal for a safe environment are therefore recommended. So, poultry waste, which is currently a burden on the environment, could be turned into a useful agricultural resource, which would be useful for the poultry industry.
Designer meat production, carcass quality, and hemato-biochemical parameters of broilers fed dietary synbiotic derived from trimmed asparagus by-products combined with probiotic supplementation
Authors: Nopparatmaitree Manatsanan , Bunlue Sittichai , Washiraomornlert Silchai , Saenphoom Pornpan , Kitpipit Warangkana , Chotnipat Soranot
Published: October 2022

Objective: This experiment investigated the effects of synbiotic supplementation produced from probiotics and prebiotics from trimmed asparagus by-products (TABP) on broiler chicken diets in order to yield designer meat production.
Materials and Methods: A total of 320 one-day-old Ross 308® chicks were randomly allocated to dietary treatments with four replications each (n = 20). The dietary treatments were composed of a control group without supplementation and treatment groups fed with 10, 30, and 50 gm/kg of TABP supplementation in diets combined with 2 gm/kg probiotics.
Results: The results showed that broilers fed dietary supplementation of TABP with 2 gm/kg had a lower level of total cholesterol and low-density lipoprotein cholesterol in the serum, which reduced the atherogenic indices of the serum, such as cardiac risk ratio and atherogenic coef¬ficient (p < 0.05). In addition, the cholesterol content and the fatty acid profile of breast meat, including palmitic acid, oleic acid, saturated fatty acid, and omega 9 levels, also declined with the increasing levels of TABP inclusion (p < 0.05). Moreover, the supplementation of TABP in diets caused a decline in the atherogenic and thrombogenicity indices and a rise in Δ-9 desaturase (16) index and hypocholesterolemic to the hypercholesterolemic ratio of meat (p < 0.05).
Conclusion: Synbiotic supplementation of up to 30 gm/kg TABP combined with 2 gm/kg probiotics in the chicken diet can potentially be utilized for the production of designer meat.
SINAV KAYGISI İLE PSİKOLOJİK SAĞLAMLIK ARASINDAKİ İLİŞKİDE BİLİNÇLİ FARKINDALIĞIN ARACI ROLÜ
Authors: lu S , Yavuz Eda , lu Selim
Published: October 2022

Sınav kaygısı; bireylerin akademik, sosyal ve duygusal yaşamlarında önemli bir sorun haline gelebilmektedir. Bu sorunun ilişkili olduğu faktörlerin araştırılması, önleyici ve tedavi edici müdahale programlarının oluşturulması için önemlidir. Bu araştırmada, psikolojik sağlamlığın sınav kaygısını azalttığı ve bu etkilere bilinçli farkındalığın (mindfulness) aracılık rolünün bulunduğuna yönelik bir model test edilmiştir. Araştırmaya 332’si kadın (%60.7), 215’i erkek (%39.3) olmak üzere toplam 547 lisans ve lisansüstü öğrenci katılmıştır. Araştırmada Kısa Psikolojik Sağlamlık Ölçeği, Freiburg Kendindelik Envanteri ve Westside Sınav Kaygısı Ölçeği kullanılmıştır. Araştırma bulgularına göre psikolojik sağlamlık ve bilinçli farkındalığın sınav kaygısı ile negatif yönde ilişkili olduğu bulunmuştur. Yapısal eşitlik modelinde yol analizi bulguları, sınav kaygısı ile psikolojik sağlamlık arasındaki ilişkide bilinçli farkındalığın aracılık rolünün anlamlı düzeyde olduğunu göstermektedir. Sınav kaygısı ile ilgili planlanacak müdahalelerde psikolojik sağlamlık ve bilinçli farkındalık ilişkisinin göz önünde bulundurulması önerilir. Bu amaçla sınav kaygısını yönetmede koruyucu rehberlik etkinliklerinin daha olumlu sonuçlar verebilmesi adına, mevcut ilişkiler farklı bakış açıları sunabilir.
GESTÃO DE RESULTADOS DO 1º CONCURSO MUNICÍPIO INOVADOR
Authors: Costa Silva Leticia Kelly , Franco Moreira Francisco Jadson , Leidy Dayane Paiva de Abreu  , André Ribeiro de Castro Júnior  , Katherine Alves Silva  , Romão Pasqualini Nerio Valéria
Published: October 2022

O 1º Concurso Município Inovador foi uma iniciativa de estímulo às boas práticas de inovação em saúde, por meio da realização de práticas inovadoras escritas. Descrever a experiência da comissão executora na gestão de resultados do 1° Concurso Município Inovador. Relato de experiência sobre a equipe de comissão executora vinculada à Gerência de Pesquisa em Saúde. O edital elaborado explicitou as etapas que seriam realizadas, as quais foram divididas em dois momentos: o primeiro é a Etapa de Homologação, em que o agente incluiu o envio de vídeo explicativo sobre a prática inovadora e resumo escrito; o segundo é a Etapa de Avaliação. A criação do fluxo gerencial foi eficaz, totalizando na primeira etapa 144 práticas enviadas e na segunda 126 práticas. A visão sistemática do processo de trabalho para alinhamento de fluxo foi fundamental, pois reduziu as falhas durante as fases organizacionais.
ENSINO REMOTO DURANTE A PANDEMIA DO COVID-19
Authors: Cavalcante Bernardino Wêndson , Vilarouca Filho Edimar
Published: October 2022

Analisar na literatura científica as dificuldades no ensino remoto nos cursos de enfermagem durante a pandemia do covid-19. Trata-se de uma revisão integrativa realizada na Biblioteca Virtual em Saúde (BVS) nas bases de dados SciELO, PubMed/Medline e LILACS em fevereiro de 2022, utilizando os descritores: Educação em enfermagem, Coronavírus e Ensino online; fizeram parte da amostra 10 artigos. Os alunos enfrentaram dificuldades relacionadas ao acesso a tecnologias como computadores e até mesmo ao sinal de internet, assim como dificuldades com fatores intrísecos, como autonomia, motivação, administração de tempo e sinais e sintomas relacionados à ansiedade. Como limitações do estudo ressalta-se que ainda há poucas publicações sobre a temática proposta. Sugere-se a realização de pesquisas pelas instituições de ensino no intuito de se conhecer melhor as necessidades dos seus alunos, bem como políticas mais efetivas para melhorar o acesso as tecnologias.
APLICAÇÃO DE INSTRUMENTOS DE ENFERMAGEM EM IDOSO COM MULTIMORBIDADES
Authors: Costa Silva Leticia Kelly , Barroso Calazans Cecília Carla , Ribeiro de Castro Júnior André , De Paula Santos Marcos Augusto
Published: October 2022

Descrever a experiência de aplicação de instrumentos que possibilitam a eficácia do processo de enfermagem em idoso com multimorbidades. Trata-se de um relato de experiência sobre a aplicação do instrumento, no período de dezembro de 2021 a fevereiro de 2022, no paciente portador de morbidades, utilizando dois formulários. O primeiro associava-se aos dados subjetivos do paciente e domínios do Nanda (2021-2023), o qual elaborava diagnósticos de enfermagem; o segundo formulário abordava o autocuidado de Orem, com diversos critérios de avaliação em cada item. O resultado apresentou diversos diagnósticos de enfermagem, que incluíam controle ineficaz do regime terapêutico e disposição para controle aumentado do regime terapêutico, tendo resultados, intervenção e avaliação do estudo. Conclui-se que a utilização dos sistemas de classificação possibilitou estabelecer os diagnósticos, intervenções e resultados próprios da enfermagem, assim como possibilitou a participação ativa do paciente em todo seu plano de cuidado.
IMPLANTAÇÃO DE UM SERVIÇO DE ATENÇÃO À PESSOA IDOSA NO INTERIOR DO CEARÁ
Authors: Clemente Costa Bruna , Almeida dos Santos Filho Luciano , Rocha Teles Liana Mara
Published: October 2022

O aumento da proporção de idosos é um fenômeno global que ocasiona transformações demográficas e epidemiológicas, modificando o perfil de saúde da população e a demanda sobre o sistema. Este estudo teve como objetivo descrever a implantação de um serviço de Atenção à Saúde da Pessoa Idosa no município de São Gonçalo do Amarante, Ceará. Assim, foi possível realizar, pela perspectiva multiprofissional, monitoramento clínico de doenças crônicas não transmissíveis (DCNT), avaliação de funcionalidade, manejo da polifarmácia e ações coletivas de promoção da saúde, entre outras estratégias que interrompem o modelo biomédico e focam na manutenção da qualidade de vida. Nesse contexto, este serviço tem sido uma estratégia de grande impacto para a atenção qualificada ao idoso, o qual passou a ter medidas mais eficazes de autocuidado e apoio profissional no controle das DCNT.
Preface: 2022 International Conference on Finance, Investment and Business Analysis (FIBA 2022)
Authors: Carroll Renata , Wang Zhiting
Published: October 2022

This 2022 International Conference on Finance, Investment and Business Analysis (FIBA 2022) was successfully held virtually in Kuala Lumpur, Malaysia from June 25 to 26, 2022. Initially, it was planned to be held physically at University of Malaya, Malaysia. However, this conference was changed to a virtual format due to the current situation of covid-19 and travel restrictions in Malaysia and other countries.

FIBA 2022 is a conference on international finance, global investment, business planning, economic management and business analysis. It provides a forum for researchers, practitioners and educators to introduce and discuss the latest innovations, trends, experiences and concerns in these fields. The main objective of this conference is to provide a forum for all attendees to share and exchange ideas and research findings in respective fields of research. The conference allows the exchange of knowledge between different research domestic and foreign centers representing various fields.

The virtual format of FIBA 2022 was a success where all the participants gathered on the online platform regardless of the time zone and location and share experiences and research findings in their respective fields. As such, this conference will expand networks and foster potential collaborations between researchers in the same field of research.

With best regards,

Organizing Committees of FIBA

Kuala Lumpur, Malaysia
Application of Markowitz and Index Model during the period of COVID-19
Authors: Yu Zhifeng
Published: October 2022

Markowitz Model and Index Model both play a important part in making strategies when investors decide to make an investment. There is no denying that nobody can give you a guarantee that he can determine whether the stocks’ price will rise or not in the future. However, if you can use these two models correctly, you will acquire quite a lot of effective information such as which stock you should long or short and what percentage you should allocate to each stock which can help you make an investment strategy accurate relatively. As is known to all, whole world suffered from COVID-19 not only in death but finance. If we use the previous strategy to invest, it will definitely not work in current environment. But that no mean that we don’t have the opportunity to invest. What we should do is research the new investment strategy to adapt to current environment and embrace the better chance to earn. In order to research special investment method different from the period before the COVID-19 by building these two models, this paper select S&P500 and 8 companies which are large scale and great enough to have the qualification to behalf of their industry.
A Review of Factors Affecting Tesla's Profitability
Authors: Shi Mengzhuo , Zhang Yining , Zhu Chenhui
Published: October 2022

In recent years, the rapid development of the electric vehicle industry has attracted the attention of the majority of scholars. To better improve the development efficiency of enterprises in the electric vehicle industry and promote the healthy development of the market, this paper takes Tesla as the research object, makes a detailed analysis on the factors affecting the profitability of Tesla enterprises, and combs the relevant research literature on the electric vehicle industry. It is found that the factors affecting Tesla's profits can be roughly divided into internal and external parts. Among them, internal factors include leadership and innovation model, global market, goods and their prices, and credit and direct sales. External factors include the government and its policies, customer intentions, environmental factors and the number of charging stations. Finally, this paper believes that the company's leadership, labor force, policy, electric vehicle sales, and other factors greatly impact Tesla's revenue. The existing research results have made great contributions to this experiment and show that Tesla is rising steadily. What Tesla needs to do is continue to maintain its advantages and improve some conditions that are not conducive to the company's development, such as the lack of charging piles in some areas.
Endorsement in bill of lading practice based on cases of teledischarge, letter of guarantee and non-endorsement
Authors: Zhang Zitan , Wang Xuefeng
Published: October 2022

International Trade and international transportation are the origin and derivation. As a link, bill of lading connects trade, transportation and finance, which brings convenience to international trade transactions. Thereinto, the endorsement of bill of lading is one of the cases should be paid attention to. The law endows the bill of lading with three functions. The endorsement of the bill of lading is one of the requirements to realize its functions. According to the records and classification in the consignee column of the bill of lading, it has a more complex business practice to instruct the transfer of endorsement and delivery of the bill of lading. This paper discusses the special situations of "teledischarge", "letter of guarantee" and "non endorsement". According to the analysis, it is clearly pointed out the matters that all parties should pay attention to, which can help practitioners avoid relevant errors. These results shed light on guiding further exploration of endorsement in bill of lading practice.
Stock Valuation and Investment Prospects of Digital-Product Industry in the Post-Pandemic Era
Authors: Tian Gengrui
Published: October 2022

The coronavirus outbreak brought the economy to a standstill, and now the worst of the pandemic period is over. Capital markets are also trying to regain their former prosperity. So how to choose the appropriate industry to invest in the post-epidemic era is a problematic issue worth thinking about. Digital manufacturing is a shot. This article will explore three questions. The prior thing is to figure out the characteristics of the digital-device stocks by analyzing the finance ratios. And the second problem is how the digital-manufacturing corporates performed comparing with the whole US stock market. The same kind of financial parameters will be calculated for the overall market in order to position the status of digital enterprises were in. Finally, how much risks would be laying out in digital maker and how to adjust the investment strategy accordingly. This query will be measured by other financial tools to offer a clear impression of future prospects. Eventually, the study has found out that even though mismatch between spending and earnings are possible to occur, the steady output is fulfilled in digital-making field. Meanwhile, it is better to be a long-run shareholder. As the appreciation of fixed assets takes time to polish, this coincides with the business strategy of digital products companies. The direction of the research is purposeful as in the post-pandemic era the capital world needs strategy makers to make right choices under the inferior situations.
The compare of fitting between Markowitz model and single index model in different risk degree
Authors: Yin Wenjie
Published: October 2022

COVID-19 outbreak impose a major threat on the economy. For such a major public event, government always take some measure to deal with them, and it will cause great impact to market. The paper tries to use 20 years of historical daily total return data for ten stocks, which belong in groups to three different sectors Internet Technology Industry, The financial industry, Consumer goods business, one (S&P 500) index (a total of eleven risky assets) and a proxy for risk-free rate (1-month Fed Funds rate). This paper will explore practical degree of MM model and IM model in different risk degree by choosing one market index and ten leading enterprises in all walks of life and try to use expect return to divide degree of risk. The research show that MM model will have better degree of fitting in medium risk degree, and IM will be more suitable for low-risk degree. Furthermore, when expect return above 40% to the high return level, the limiting condition will cause great influence.
The impact of Sino-US trade conflict on Chinese Manufacturing: Evidence from Time Series Model
Authors: Niu Yiqi
Published: October 2022

In April 2018, the trade conflict between China and the United States broke out, and major economic markets in China were hit. As an industry that dominates China's stock market, China's manufacturing industry's index fluctuations are enough to attract attention. It is even related to whether the Chinese government needs to implement corresponding strategies for it. In order to explore the impact of the Sino-US trade conflict on China's manufacturing market, this paper uses GARCH and ARMA-GARCH model to estimate this shock. From the estimation results of exogenous variables, it can be seen that in the long term, the US imposition of tariffs on China has no significant positive impact on the volatility of China's manufacturing industry. These results prove that China's economy still has a considerable degree of anti-risk capability in the long term in the face of external shocks. Therefore, the Chinese government does not need to worry too much about the impact of tariff increases on Chinese manufacturing.
Macro and Micro Determinants of Bank’s Profitability: Evidence from United States
Authors: Liu Haozhen
Published: October 2022

This study investigates the macro and micro variables affecting commercial bank profitability in the United States from 2017 to 2021. The research sample is the nine commercial US banks and the research study develops a panel regression model to analyze the data. This research regards the probability indexes return on average assets (ROAA) and return on average equity (ROAE). The study finds that liquidity risk is one of the most crucial factors affecting profitability, both on ROAA and ROAE. The leverage ratio and capital adequacy negatively influence profitability, especially on ROAE. However, the profitability of these US commercial banks is not influenced by the bank size and the macro determinants, which include the pace of growth of the economy, the rate of inflation, and the rate of lending interest are all factors to consider. The paper also presents recommendations for decreasing the liquidity risks and controlling the risk to maintain a healthier economic environment for the US commercial banks based on the empirical findings.
Profit from Volatility Based on Investment Strategy Model
Authors: Dai Mingwei , Bao Dan , Kong Zeyu
Published: October 2022

The investment market is rapidly changing and asset prices may vary greatly in a relatively short period of time due to their instability. We analyze the variation characteristics of gold and bitcoin prices. Obviously, the gold price movements are significantly more stable than bitcoin, so we consider using a long- term low-frequency trading strategy with wavelet transform for gold and a short-term high- frequency trading strategy for bitcoin. Based on these indicators, a multilayer perceptual (MLP) neural network was used to develop price prediction models for each of the two assets. These models achieve accurate forecasting of future prices based on historical data, and the models’ test error levels are both about 2%.
Mining Factors Affecting Stock Prices from the Perspective of Asset Pricing Based on ANN-RBF Algorithm
Authors: Yang Shaoyu , Wang Yuzhe , Ni Zejiang
Published: October 2022

Pricing of assets through machine learning has been given more attention. This article attempts to study the factors affecting the stock value. In addition to the Fama French factor, this article selects the stocks in the A-share market and adds seven other factors affecting stock value to construct a stock pricing model. The sum of squares error (SSE) of the RBF neural network's prediction results was 0.4, and the relative error was 0.955. Among the 12 factors, the economic prosperity index (HJ), consumer expectations index (CEI), and an inflation index (CPI) were significantly crucial for the growth of the A-share market value. This study is conducive to exploring the factors affecting stock prices, helping investors and other stakeholders identify significant influencing factors, and making correct responses to changes in factors to obtain additional returns.
Research on Interest Rate Risk Management Based on Duration, Convexity and Immunization
Authors: Li Xiao , Lu Yiye
Published: October 2022

For bond investors and fundraisers, interest rate risk is an inescapable issue that requires attention. Therefore, efficiently measuring and preventing interest rate risk is a topic worthy of in-depth research. Duration, modified duration and convexity are tools that can be used to measure different interest rate risks. Based on the concepts of duration, immunization is introduced as an effective strategy to shield investors’ overall financial status. This paper mainly reviews the development and evolution of duration, modified duration, convexity and immunization strategy. In addition, the application scenarios of duration and convexity and improved immunization strategies are discussed and served as a reference for investors and financiers when hedging interest rate risks.
The Impact of Russia-Ukraine Conflict on Chinese Military Industry Sector -Based on Event Study
Authors: Chen Yufei , Deng Xiuqiang , Li Songmian
Published: October 2022

The conflict between Russia and Ukraine has had a tremendous impact on the world economy. This paper uses the event study and selects 51 military enterprises in Shanghai and Shenzhen from February 14 to March 4, 2022. The date of the event was set as February 15, and within eight days of the event, the CAAR as a whole was positive. So, the Russia-Ukraine conflict on the Chinese military industry sector had a positive impact, but the impact of the shorter duration, was mainly affected by investor sentiment, and the overall performance of hedging demand. In the long run, the military industry sector will still be driven by fundamentals. Investors need to include the Chinese military industry sector in their portfolios to avoid the risk of geopolitical conflict. It is also important to note that due to the relatively short duration of events, the portfolio needs to be dynamically adjusted and the risk of late price declines cannot be ignored.
Research on Quantitative Trading Model
Authors: Ge Ying , Cao Yue , Yang Zi , Wang Yuyao , Ge Xin
Published: October 2022

With the rapid development of data science, quantitative trading models have become prevalent in financial markets. Based on Apriori algorithm, we analyze the rise characteristics of gold and bitcoin. Based on the principle of financial investment, BiLSTM with attention mechanism and VaR, the transaction decision model was established. We also establish a exponential model to identify how much money should be invested each time. Simultaneously, we apply a modified greedy algorithm to decide our investing decisions and it turns out to be quiet successful. Generally, the trading model established in this paper has good sensitivity to adapt to market changes and has strong risk resistance.
Research on the Manufacturing Development in China under the US-China Trade War
Authors: Quan Xiaolei
Published: October 2022

This paper aims to analyze the current condition of high technology manufacturing in China in the context of a trade war between it and the U.S. Since China and the U.S. are the largest two manufacturing countries and also the highest GDP countries, the paper presents the trend of the manufacturing within these two countries and their comparative advantage. While Chinese manufacturing wins by large scale and low production cost, U.S. manufacturing wins by its control of high technology which is more valuable to manufacturing growth today. Given the ever-intense rivalry between China and the U.S. on high-end technology manufacturing, the paper then discusses the resulted difficulty faced by China as it is experiencing a high-tech supply shortage and the solution China has used to conquer the obstacles. The solution China employed has shown its effectiveness as several high-end manufacturing areas have achieved great progress in the year after the solution was imposed. The content of the paper is meaningful to the study of the relationship between China and the U.S. and the continuing growth of Chinese manufacturing as it records the biggest tension between the two countries and the resolution China takes to save its manufacturing from a broken technology supply chain.
Portfolios under Constraints in Real Practice
Authors: Lin Yuxi
Published: October 2022

Portfolio optimization now has a decisive status in the financial researching. However, few research focus on several specific industries and the commonly used constraints in the realistic financial world. This paper aims to do the asset allocation for three industries, i.e., technology industry, financial service industry and industrial industry. The SPX500 and ten firms from the above industries are chosen to obtain their correlation coefficient matrix. Then Mean-Variance Model is used to calculate the maximum Sharpe Ratio, the minimum variance, the capital allocation line. Finally, solver table is applied to calculate the minimum variance frontier under each constraint. The result shows that, first, the SPX500 has a high correlation coefficient with the listed firms, and it’s a good choice in a portfolio that balances risk and return; second, the minimum variance frontier and capital allocation line behave worse when adding constraints. These findings may help the investors with specific risk appetite to make their own investment decisions. Besides, investors will be aware of the price of adding constraints when making a investment decision.
S&P 500 Index and Volatility Forecast of Chinese Stock Market
Authors: Cao Jinrong
Published: October 2022

The main purpose of this article is to examine the role of the S&P 500 index in predicting the volatility of China's stock market. Our work is based on the autoregressive model (AR). We further extend this simple benchmark model by adding the volatility of the S&P 500 index. Intrasample regression shows that after adding this indicator, the overall goodness of fit of the model is rising, the explanatory ability is enhanced, and the added variables are also very significant. The out of sample prediction shows that, in terms of statistical test, the extended model has a positive out of sample R-square compared with the benchmark model, and has passed the CW test; In terms of economic test, we find that the extended model has positive CER and Sharp Ratio (SR) compared with the benchmark model. The out of sample predictions of these two aspects show that the newly added S&P 500 index has a good prediction effect. In addition, we also conducted various robustness tests, such as replacing the previous dependent variable (Shanghai Stock Exchange Index) with the CSI 300 index, replacing the previous extended window with a rolling window for prediction, and extending the previous single period prediction to multi period prediction. In the multi period forecast, we found that the S&P 500 index is only effective in a short period, for example, within 3 months, but cannot play a predictive role when it is extended to 6 months.
The Impact of COVID-19 on Yield of Precious Metal: an Empirical Evidence
Authors: Ye Zhiang
Published: October 2022

The current paper aims to establish the relationship between the COVID-19 pandemic and precious metals earnings, in particular, gold and silver earnings. The study analyzes the yield and variance of gold and silver using the VAR model, impulse response analysis, and the ARMA-GARCH model. The study found that the COVID-19 pandemic has a significant positive impact on the gold and silver yield in the short term, which makes the precious metals an excellent market for investment during the pandemic due to their hedging and haven characteristics.
The Impact Of COVID-19 On Electronic Industries Based on Fama-French Five-factor Model
Authors: Dai Chenchun , Lin Zicheng
Published: October 2022

COVID-19 has influenced almost every country in various aspects, especially the worldwide economy. As it is foreseeable that the epidemic will still last in the next few years, it’s important to analysis the impact of COVID-19 on the common model used in stock analysis. In this paper, we chose 7 years daily data form four companies of electronic industry (from Jan,1st 2015 to Nov,30 2021) in specific to quantitatively evaluate the effects based on Fama-French five-factor model. Through comparing the Fama-French five-factor coefficients in the first 5 years and the next 2 years, one sees that those economy factors are affected by COVID-19. By processing the 7 years data, the results of two groups are obtained. The test of correlation coefficient, t test, p value test and other tests are applied to exam the result and to see whether the model still suit for present stock market. Subsequently, we focused on the changes in each coefficient, combined with the profit and market, to analyses the performance of different factors. According to the analysis, some of the factors were sharply increased the influence on excess return rate like SMB on HPQ, HML on AAPL, etc. Other factors basically remained the same as before. These results shed light on the reaction on electronic industry in the COVID-19 and pave a path for investors’ decisions.
Broad Asset Portfolio Designed Based on the Mean-Variance Model
Authors: Liu Yanyu
Published: October 2022

Contemporarily, broad asset class allocation has gradually become an ideal investment strategy for investors and institutions. This paper constructs the optimal asset class allocation and portfolio design with python based on the mean-variance model, using stocks, gold, crude oil, bonds, futures, foreign exchange, funds, commodities, digital currencies and treasury bonds as the main underlying assets. To compare the asset allocation portfolios constructed by different approaches (the equally weighted investment model, the minimum variance model and the maximum Sharpe ratio model), the comparative analysis is implemented in terms of five indicators, including the annualised return, annualised volatility, Sharpe ratio, maximum drawdown and return-to-drawdown ratio. After the comparison, the advantages of the maximum Sharpe ratio model are demonstrated. According to the results, the mean-variance model, as a risk management model from the investor’s perspective, is consistent with the investment logic of investors and financial institutions that it outperforms the traditional minimum variance model and equally weighted model in terms of profitability and risk control. Therefore, the mean-variance model has certain theoretical guidance for broad asset class allocation. Overall, these results shed light on portfolio designed for investments.
Equity Incentive and Firm Value: Evidence from the Chinese Stock Market based on Panel Regression Model
Authors: Huang Yizhe , Xing Yaning
Published: October 2022

Nowadays, more and more firms use equity incentives to encourage executives to improve firm value. In order to have a better understanding of it, this article analyzes the relationship between the equity incentives and the firm value. Based on agency theory and management incentive plan, we explore the influence of corporate equity incentives on corporate value. We download data of A-share listed companies in China’s two big Exchanges. In our process, panel regression model is set to prove our point. Our financial data come from CSMAR database and relevant data from the Wind financial terminal. After using Stata and calculating, we get 15,556 firm -year observation value, and our results show that in those companies, the implementation of corporate equity incentives will significantly promote corporate value improvement, and this relationship is still significantly established after experiencing A series of robustness. Further, there also provides us data to analyze four different types of companies. The result shows that the positive effect of equity incentives is greater in state-owned enterprises, enterprises audited by the Big Four auditors, enterprises with a high proportion of shares held by institutional investors, and companies with high growth. This paper provides support for the positive effect of the current equity incentive. At the same time, our analysis of different types of companies provides a basis for future research on a particular type.
Pricing Asian Lookback Option based on Monte Carlo simulation
Authors: Wei Tao , Yang Fangpei , Yu Hao
Published: October 2022

With the emergence and development of exotic options, the diversity of securities has largely increased. However, existing types of popular exotic options seem to be either limited or inflexible to satisfy buyers' personal needs. As for the Lookback option and Asian option, the Lookback option’s application is limited in the OTC area with a high price. The Asian option is cheap but used mostly for hedging, leaving relatively little space for speculating. Thus, we created a new exotic option called the Asian Lookback option (ALB) as a combination and derivative of these two options with a flexible implementing way enabling both the requirements for hedging and speculating. In the process of building the model of ALB, these two options’ models are referenced, together with the widely used option pricing method Monte Carlo Simulations based on the assumptions of the Black-Scholes model. To simulate the practical function and price of ALB, we set a control experiment of the prices of four options: two types of ALB, Asian option, and Lookback option in three different markets (S&P 500, Corn, COMEX Gold). It is shown that the price of ALB can be switched from Asian-like to Lookback-like, realizing the function of customized usage from hedging to speculating. These results shed light on a more flexible and personalized development tendency of derivatives.
Equity Incentive and Idiosyncratic Volatility Using Dual Fixed-effect Method: Evidence from China
Authors: Chiang Jengshin , Li Donghao , Zhou Ningyuan
Published: October 2022

This article study the relationship between equity incentive and the Idiosyncratic volatility of the stocks. Based on the data among the A-share listed companies, the article use the dual fixed-effect method with industry and time fixed to build a model and use Stata to do the empirical analysis. As a result,  the study shows that equity incentive increases the idiosyncratic volatility of the stock, and impact of equity incentive on idiosyncratic volatility is more pronounced in non-state-owned firms, with fewer analysts and a lower ratio of institutional investors. Robustness is checked by replacing different equity incentive variables and adding lag items.
The Stock Analysis and Forecast Base on the Company of China Duty Free Group
Authors: Chen Tongyang , Chen Yubin
Published: October 2022

China Duty Free Group is crucial to the duty-free market in China.  The study base on heterogeneous autoregressive (HAR) theory and establishes the HAR-RV model to analyse the volatility for China Duty-Free Group on market by combining structural destruction and weekday effects, thereby establishing new heterogeneous autoregressive (HAR) models. It shows that the weekday effect contained much predictive information about the duty-free market forecast. Moreover, we apply regression analysis to predict the future market. According to the survey, the phenomenon we found is that the Day-of-the-week effect has a significantly negative influence on duty-free market futures’ price volatility, moreover stock price has grown rapidly after mid-2020.
US Stocks Market Movements Prediction: Classification of SP-500 Using Machine Learning Technology
Authors: Chen Fang , Gao Jinglun , Zhang Zhiwen
Published: October 2022

In the field of quantified investment, risk quantification and maximum expected return are the problems focused on by the investors. Besides, a powerful toolkit for predicting the stock price movement is also very important for investors. In this paper, five stocks that are components of the SP-500 Index are selected, and the Mean-Variance method is used to optimize the portfolio of the above stocks. Moreover, five machine learning methods are compared to evaluate the performance in the application of stock price movement prediction. The results show that the combination of “AMZN”, “MSFT” and “AAPL” can achieve a good expected return within a low risk. In addition, the Artificial Neural Network method has the highest accuracy in predicting the multiclass stock price movement. Our research has a reference significance for the investors in the application of risk quantification and stock price prediction.
Influence of Workplace Fun and Employment Experience on Creative Process Engagement: Mediating Role of Job Embeddedness
Authors: Qureshi Zikra Wazir , Hashmi Maryam Saeed , Hashmi Hafiza Rabia Saeed
Published: October 2022

The primary goal of this research is to examine the impact of Workplace fun and Employment Experience on Creative Process engagement among employee of software houses of Pakistan. In this paper, Job Embeddedness is perceived to mediate among Workplace Fun-Employment Experience and Creative Process Engagement. For analyzing, structured questionnaire was utilized to gather information from 303 full-time employees of software house from Lahore, Pakistan. The data was tested by using structural equation modeling (SEM) and for this AMOS 22 and SPSS 20 was utilized to test the proposed relationships. The results obtained through SEM, indicated that Workplace Fun and Employment Aspects played a significant role both directly through Job Embeddedness at software house employees and indirectly via Creative Process Engagement. Further, the most dominant predictors on CPE were Workplace fun dimensions (fun activities, coworker socialization, fun job responsibilities and managers support for fun). As Workplace Fun to some degree, really a new topic in research field and up-to-date few studies grasp this concept in the developing countries. This study is one in research that investigated creativity and engagement in a unitary term i.e. Creative process Engagement. This paper adds valuable knowledge as well provide managerial and practical implications for the organization management.