Deep Learning for Financial Engineering

Chen, Mu-Yen; Sangaiah, Arun Kumar; Chen, Ting‐Hsuan; Lughofer, Edwin; Eğrioğlu, Erol

doi:10.1007/s10614-022-10260-8

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…Precision crop management focuses on boosting productivity and protecting the environment by taking into account many elements that have a direct impact on the soil. The lack of timely, widely disseminated information on crop and soil conditions has impeded PCM [21]. The only way to address issues with crop health, production, and water management is to combine several agricultural management systems.…”

Section: Crop Managementmentioning

confidence: 99%

The AI vantage: an exposition of global dynamics

Kishor,

Patle,

Bhojane

2023

J. mechatron., artif. intell., eng.

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Over the past few years, there has been a growing interest in this field of Artificial Intelligence (AI). This review paper aims to examine the extent to which AI has been adopted across various domains in different regions of the world. Specifically, this study seeks to explore the effectiveness of AI in areas such as banking, governance, judiciary, and agriculture. While AI’s impact on these areas has been studied before, this research focuses on aspects that have not been given much needed attention so far. The study will begin by offering an overview of AI’s development from a regional perspective, analyzing 63 articles from leading journals and institutions to identify the most commonly used terminologies, theories, and technologies. The increasing computational power has played a crucial role in the advancement of AI. However, the role of AI in governance, judiciary, and legislature system has not been explored in depth in previous research. Furthermore, most studies tend to focus on single domain, whereas this paper aims to examine several domains and their relationship to AI. The study presents several AI-driven techniques, including Deep Neural Net (DNN), Artificial Neural Net (ANN), Candlestick Plots, Natural Language Processing (NLP), Explainable Deep Neural Net (xDNN), Attentional Maps, Digital Inventory, Deep Learning among others, that can be applied to enhance society’s performance in different domains. The research also delves deeper into the judiciary domain, proposing specific AI techniques that could be useful in this field. Additionally, tables summarizing different AI tactics relevant to each domain are presented.

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Section: Crop Managementmentioning

confidence: 99%

The AI vantage: an exposition of global dynamics

Kishor,

Patle,

Bhojane

2023

J. mechatron., artif. intell., eng.

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“…How to pay for the often high development expenditures that would be necessary to bring goods to market is a crucial necessity and occasionally a challenge experienced by many of our clients. Clients have access to options that enable them to cover both the initial expenses of creation and continuing the costs of distribution (Chen et al, 2022;Kiprotich & Onsomu, 2021).…”

Section: Introductionmentioning

confidence: 99%

The role of artificial intelligence and financial engineering for listed service companies in Nigeria

Ajah,

Akintoye,

Anaekenwa

et al. 2024

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This study examines the role of artificial intelligence (AI) in the financial engineering of listed service companies in Nigeria. The study used a survey field alongside secondary data from the financial statements of the service companies listed in the Nigerian Exchange Group. Self-structured questionnaires were administered through online platforms. The respondents were drawn from the staff of the service companies having access to AI and among the strata of practicing auditors and accountants with a clear understanding and good knowledge of AI applications and capabilities in solving financial engineering-related issues. The study utilized 487 validated responses in total. The Cronbach Alpha test was performed to confirm the validity and reliability of the instrument. Using the Statistical Program for the Social Sciences (SPSS) program, descriptive and inferential statistics were used to evaluate the obtained data. The results demonstrated that AI had a significant effect on product engineering and process engineering. Also, AI had a significant effect on financial solution engineering and, lastly, on human efficiency and productivity engineering in listed service companies in Nigeria. Managers can use the research findings to brace AI in business transactions to provide creative financial solutions, increased productivity, and increased competitiveness in the sector of digital service delivery.

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“…Recently, experts and academics have become interested in the creative employability and professional skill development of financial engineering graduates. In the post-epidemic era, the interdisciplinary teaching reform of financial engineering majors is especially important for training highly comprehensive and interdisciplinary financial talent [5].…”

Section: Introductionmentioning

confidence: 99%

Interdisciplinary Teaching Reform of Financial Engineering Majors Based on the Analytic Hierarchy Process in the Post-Pandemic Era

2023

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In the post-epidemic era, the labor market has become increasingly complex, making it even more crucial to incorporate sustainability into employment demand. As we enter the post-pandemic era, a globalization trend has become more apparent. It is crucial to modernize employability through educational reform in order to assist employees in enhancing their professional skills. This study began by analyzing the importance of financial engineering practice instruction and graduate employability in the post-epidemic era. Second, the study proposed the content and a plan for inter-disciplinary teaching reform to address talent cultivation needs based on labor market requirements. Third, a face-to-face survey and interview were conducted with students affected by changes in teaching, and the results were analyzed and summarized. On this basis, the impact of education reform was evaluated using both the expert scoring method and the analytic hierarchy approach. The results indicated that the suggested financial engineering teaching reform program improved the school’s discipline strength, enrollment rate, employment rate, and competition awards, especially discipline strength. This research can be used to inform the teaching of financial engineering majors in various countries, assist job candidates in enhancing their professional skills, and build a formidable talent pool for the labor market.

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Deep Learning for Financial Engineering

Cited by 10 publications

References 22 publications

The AI vantage: an exposition of global dynamics

The AI vantage: an exposition of global dynamics

The role of artificial intelligence and financial engineering for listed service companies in Nigeria

Interdisciplinary Teaching Reform of Financial Engineering Majors Based on the Analytic Hierarchy Process in the Post-Pandemic Era

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