All of the articles in this proceedings volume have been presented at the Conference abbreviation 2026 2nd International Conference on Financial Innovation and Marketing Management (FIMM 2026) during July 2–4, 2026 in Singapore, Singapore. These articles have been peer reviewed by the members of the...

Digital transformation has fundamentally reshaped the corporate risk landscape, introducing unprecedented complexities in strategic, operational, and compliance dimensions. This paper examines enterprise risk management challenges and adaptive financial strategies in the digital era, with a focused case...

As the technology of generating Artificial Intelligence (AI) develops incredibly dynamically, the commercialization of the AI large-scale model companies takes center stage as an issue of interest in the technology sector and capital market. Nevertheless, the main challenges that remain unresolved in...

In the occasion of the rapid progress of digital economy and deep combining finance and technology, when traditional commercial banks meet all kinds of customers’ migration phenomenon, competition pressure from non-banking institution (NBIs) and the troubles of profit model, Digital transformation has...

The global aerospace industry has gone through the state-owned activities to become a vibrant commercial sector that is driven by individual resourcefulness and economic forces. In this analysis, the growth of SpaceX was followed through a tri-partite approach: the Government-Backed Endurance (2002–2012),...

In recent times, environmental, social, and governance (ESG) investment has grown fast because more investors are incorporating sustainability considerations into financial decision-making. This growth is from both regulation and demand for open and responsible money use. Against this background, this...

With the development of information technology, Robotic Process Automation (RPA) shows high flexibility and is broadly applied into financial field including company accounts, tax administration, and accounting. It provides substantial benefit in streamlining procedures and saving manhours. However,...

The rapid development of digital finance in the digital economy stems from technological innovation, market demand and policy support. This article focuses on the reshaping of the impact of digital finance on traditional financial models and the core challenges it brings. By analyzing the core characteristics...

The digital economy has radically transformed the financial system of the world, facilitated innovation and inclusive growth of FinTech, as well as resulting in cross-border oversight and systemic risk issues. This paper is dedicated to the world mechanism, issues and controlling strategies of digital...

As the use of digital solutions in financial services and cross-regional operation increases, the number of risk-related signals is increasing faster. The paper categorizes the contributions of note technologies, including machine learning, deep learning, graph analytics, and natural language processing,...

Crowdfunding has thrived in recent years because of its effective form and rapid dissemination of information to entrepreneurs. Simultaneously, it can also bring a sense of affiliation, creative products, and potential rewards to backers. Multiple backers and campaigners have been attracted by this novel...

This case takes German Generation Z investors (were born 1995–2010) as the research object. In the context of the expansion of digital finance, the energy crisis, and low interest rates, this study examines how differentiated information transmission by financial intermediaries shapes investment memory...

This paper collects monthly data spanning 119 months from January 2016 to December 2025, employs a multiple linear regression model for empirical analysis, and ensures the rationality of model settings through correlation analysis and collinearity diagnosis. The research findings indicate: Firstly, there...

Nowadays, healthcare data silos have attracted increasing attention in the context of digital health transformation, as they significantly influencing healthcare quality, operational efficiency, and public health governance. However, existing studies have largely focused on technical interoperability...

The paper is based on a cross-generation questionnaire survey investigating consumer spending habits, cash perception, and shifts in consumption behavior. The questionnaire comprises five sections, examining respondents’ demographic information, preferred payment methods, variations in cash perceptions...

Under the background of the vigorous development of the global digital economy and the accelerated transformation and upgrading of China's manufacturing industry, the financial value of enterprise digital transformation has become increasingly prominent, which has become the central issue of enterprise...

In recent years, with the continuous promotion of enterprise digital transformation, the role of data in enterprise management has become increasingly stronger. Based on the background of enterprise digital transformation, this paper analyzes the role of data in enterprise management, and focuses on...

In recent years, the Large Language Models (LLMs) have developed continuously, providing new methods for the application of artificial intelligence (AI) in the financial field. This paper introduces the applications and limitations of LLMs and, based on this, proposes prospects for the application of...

The paper explores how the traditional wealth management intermediary model is disrupted and restructured by Decentralized Finance (DeFi) and how it can apply to the highly regulated Hong Kong market in particular. Centralized counterparties have long been used in wealth management, which leads to the...

Taking the relevant core literature at home and abroad as the research object, this paper determines the literature retrieval and screening criteria, sorts out the research progress, main methods, general understanding and focus of controversy of the four core transformation directions, analyzes the...

This paper examines how ESG investment can support the coordinated development of China’s digital economy industry, using Ant Group as a representative case. Existing studies have largely focused on the effect of digitalization on firm-level ESG performance, but fewer have discussed how ESG-oriented...

This article examines how digital inclusive finance affects commercial banks’ loan practices. It will first systematically review the literature available and summarize and analyze it. In this article, the author give an in-depth overview of the primary routes by which digital inclusive finance affects...

In the face of fierce talent competition, recruitment has become a key window for enterprises to display their employer brands and attract talent. The introduction of AI technology has brought an efficiency revolution and new brand opportunities to the recruitment field, but its accompanying fairness,...

The carbon trading market is a key market-based policy tool for China to implement its "dual-carbon" strategy and promote green and low-carbon transformation. Having gone through two key stages—the launch of local pilot programs in 2013 and the nationwide unified market in 2021—China's...

Financial technology (FinTech) reshapes the information environment and external governance ecology of enterprises, and audit quality, as a critical safeguard for the sound operation of the capital market, is highly concerned about its impact on regional FinTech development and scenario heterogeneity....

This article aims to systematically explore the impact of the use of artificial intelligence (AI) tools on the transaction frequency, risk preference and herd effect of retail investors, and on this basis, put forward behavioural guidance and institutional optimisation suggestions. The study found that...

The global financial crisis in 2008 had a far-reaching impact on the banking industry, prompting the international banking system to carry out profound risk management reform. Taking JP Morgan Chase as a case, this study systematically discusses the evolution, implementation effect and limitations of...

2024 is a key node of global economic recovery and restructuring in the post-pandemic period, during which industries exhibit significantly different recovery traces and risk uncertainty. Earnings announcements, which provide actual corporate information, play an important role in resolving market uncertainty....

Barrier reverse convertible bond is a structured product that combines fixed income with embedded options, and its pricing research is of great significance to the market. Due to the high volatility of Tesla stock, it is hard for traditional pricing models to provide accurate results. This study uses...

Being a significant instrument of resource allocation among the inhabitants, the stocks-based public funds rely on their properties and market circumstances. This paper uses samples in the performance of fund performance using the monthly excess returns of using 35 Chinese equity mutual funds in the...

Under the situation that the actual return of residential deposits is low or even negative due to the current bank interest rate, structured products have gained the favor of the market by means of their fixed income part of capital preservation and low risk and financial derivatives part of pursuing...

Against the backdrop of the accelerating digitalization of the information environment in the capital market, this study, based on the data of A-share listed companies from 2018 to 2023, examines the short-term and long-term impacts of cash dividend policies on stock prices to investigate the moderating...

With the increasing complexity of structured financial products, traditional numerical pricing methods face significant challenges in computational efficiency and practical application. The advancement of generative artificial intelligence technology offers new approaches for financial pricing. This...

Distribution properties of asset returns and assets market volatility are among the fundamental aspects that affect option pricing. Typically, these factors vary with the different market conditions thus creating biases in the conventional pricing models. The traditional Black-Scholes model is based...

Reasonable pricing is the key to option trading and stable market operation. As the first listed option in China, SSE 50ETF option's pricing accuracy is very important for investors’ decision-making and market development. Taking SSE 50ETF’s daily closing price from January 2016 to December 2025...

In recent years, financial innovation continues to develop, and the business of banks gradually become specialized. These phenomena cause changes in the risk structure of banks, especially when the relationship between banks and high-growth industries like technology becomes closer. Taking the collapse...

As option markets expand, pricing and risk assessment grow increasingly critical for investor decisions and price discovery. In practice, predictive accuracy and no-arbitrage constraints are often hard to satisfy simultaneously. Using SSE 50ETF options as samples, this paper proposes a two-stage prediction-projection...

With the accelerated volatility of the stock market and significant differentiation of individual stock returns in recent years, accurate prediction of individual stock returns has become increasingly crucial for financial investment. However, practical issues remain regarding the stability of existing...

With the close integration of social media and financial markets, “social finance” has been quietly altering the mechanisms governing asset valuation. The main indicators to calculate intrinsic value have changed, moving towards more expressive ways through narratives centered around faith and emotion...

Based on the perspective of behavioral finance, this paper focuses on the internal relationship between retail investors’ venture capital allocation behavior at the beginning of the year and A-share “January effect”. Combined with the market characteristics dominated by A-share retail investors, it is...

Against the complex and nonlinear characteristics of financial markets, traditional quantitative analysis has limitations in capturing stock price fluctuation patterns. Based on machine learning and quantitative trading, this paper constructs a research framework covering data processing, feature engineering,...

The disposition effect is defined as the tendency for investors to hold on to losing stocks and dispose of winning stocks. Existing literature mainly focuses at micro-level of agent’s perspective. When extremely macroeconomic shock like Covid 19 occurs, the channels through which aggregated individual...

Inherent non-stationary, non-linear, and sudden risk shock characteristics of financial markets often cause decision biases and model failures for traditional dynamic asset allocation models, which depend on steady-state returns. Reinforcement learning, because it can do adaptive sequential decision...

This paper examines the A-share market from January 2021 to December 2025. It applies machine learning methods, including Random Forest, AdaBoost, and Gradient Boosting to build a multi-factor quantitative hedging strategy from three dimensions: momentum, volatility, and turnover. The study systematically...

This paper discusses the impact mechanism and transmission path of short-term liquidity pressure on the allocation intensity of A-share industry. In view of the inevitable pricing passivation of the traditional long-term interest rate index in the increasingly complex environment of the equity market,...

Since the stock market is affected by multiple factors, stock return series exhibit significant nonlinear and nonstationary characteristics, and traditional linear models struggle to effectively fit their volatility patterns. This paper takes the daily return of a share as the research object, constructs...

In the context of rapid information technology development and improved data acquisition capabilities, traditional linear-assumption-based asset pricing models gradually face challenges in short-term return forecasting. As an important behavioral factor affecting stock prices, investor sentiment is of...

The price volatility of financial assets features rising complexity and strengthened nonlinearity, and accurate index volatility prediction carries growing importance for investors. This paper takes the CSI 300 Index as the research object and constructs an ARIMA-GARCH combined prediction model. The...

As the core component of China’s financial market, the Treasury bond market exhibits fluctuation characteristics that directly affect macroeconomic regulation, financial institutions’ risk management, and investors’ asset allocation decisions. With the advancement of market-oriented interest rate reform,...

Digital technology has profoundly reshaped the information environment of the capital market.The changes in information supply, dissemination, and acquisition brought about by informatization have exerted multi-level and transmissive impacts on the decision-making logic of investorsfrom three aspects:...

Current research mostly explain outward foreign direct investment (OFDI) location selections from rational angles, for example, the economic aspects of the host nation. Nevertheless, the common occurrence of “clustering investment” and “collective setbacks” implies that irrational herding behavior might...

With the development of finance research, the assumption of rationality in traditional economics has been modified by behavioral finance. Although behavioral finance has identified many biases, the psychological origins of these biases, such as traumatic experiences, personality traits, and emotional...

As the Chinese economy experienced continuous economic growth, it has exited a period of rapid growth to a period of high-quality development. The insurance business is a crucial section of the national economy that not only leads to the development of the economy but also offers risk security to individuals...

According to numerous empirical studies on financial markets, more investors exhibit “irrational behavior”in real investment activities, rather than behaving as rational investors. This universal phenomenon is direct evidence of regret aversion and disposition effect, two deep-seated psychological biases...

Credit rating migration is an important link in financial risk control. Dynamic forecasting is of great significance to investor decision-making and the credit management of financial institutions. The Markov chain model has become an important tool for rating status migration forecasting because it...

Purpose/Background: The purpose of this study is to apply the case study method and examine the linkage mechanism of irrational investors’ behavior based on the case of the 2021 U. S. GameStop short squeeze event. The reason for selecting the case is based on the fact that the stimulus checks of the...

This study analyzes the daily returns of three core assets in the Chinese financial market. Data are obtained from the CSMAR database, the gold spot price series, the CSI 300 Index and the ChiNext Index. The sample covers the period from 14 March 2022 to 11 March 2026. Marginal distributions are modeled...

China’s public mutual funds face the dilemma of “funds making profits while investors do not.“ In 2025, the China Securities Regulatory Commission attempted to curb opportunistic behavior through institutional constraints. This paper utilizes this policy shock to examine the impact of the institutional...

This study looks at a simple question in stock prediction. Can basic machine learning models give useful signals about whether a stock return will go up or down in the next period? The experiment does not try to predict the exact stock price. It uses relative returns, because returns are easier to compare...

It has been over 20 years since the eurozone was set up, but member states still face lasting gaps in economic growth, employment rates, and overall competitiveness. This study focuses on two core issues: First, through which channels does a unified monetary policy lead to long-term winners and losers...

Forecasting stock price movements remains a core research area within the modern financial industry. When applied to financial forecasting tasks, machine learning algorithms, particularly Random Forest (RF), deliver reliable prediction outcomes, run steadily and rarely fall into overfitting issues. This...

Recent studies have reported strong performance of Transformer-based architectures for financial time-series prediction mainly evaluated on conventional error metrics. However, improvements in predictive accuracy do not necessarily translate into superior trading performance. This paper conducts a cross-sectional...

This paper constructs a theoretical framework for analyzing the volatility of capital flows in emerging markets during a Federal Reserve interest rate hike cycle, based on the theories of interest rate parity, international capital flows, and risk transmission mechanisms. The Federal Reserve has initiated...

Cash flow is the crucial aspect in studying a company’s operations. The retail sector currently serves as an important foundation for achieving rapid economic growth. Given the industry’s extreme reliance on inventory and its core dependence on cash flow for survival, inefficient cash flow turnover may...

Amidst intensifying global climate change and increasing concerns with sustainable development, environmental policies have become one of the institutional factors intimately shaping the global patterns of economic growth and the transformation of industrial structures. Existing research shows that while...

Small and medium-sized enterprises (SMEs) play a crucial role in promoting employment, driving technological innovation, and enhancing economic resilience. However, for a long time, SMEs have generally faced limited financing channels and high financing costs. Financing constraints have become an important...

Under the backdrop of the dual carbon goals and the rural revitalization strategy, the green transformation of agriculture has become an inevitable choice for achieving the synergy of ecological, economic and social benefits. However, the transformation is confronted with core obstacles such as high...

Under the background of China’s increasingly mature capital market, institutional investors have become the dominant force affecting resource allocation and market trend. Using data from companies listed on the Shanghai Stock Exchange and Shenzhen Stock Exchange from 2015 to 2024, this paper explores...

Under the background of the continuous promotion of carbon neutrality worldwide and the rapid development of the new energy vehicle industry, the global status of Chinese new energy vehicle enterprises is increasingly important. As a representative of the industry, BYD’s financial performance and strategic...

The fluctuation of real estate price may affect the balance sheet and credit constraints of residents and then change the consumption rhythm of durable goods such as automobiles and transmit to channel inventory. Based on the monthly data from November 2020 to October 2025, this paper constructs a comprehensive...

This study selected 50 sample companies from A-share manufacturing and technology listed companies. Based on the panel data of sample enterprises from 2019 to 2023, an enterprise valuation model integrating financial indicators, market variables and corporate governance variables is constructed. Taking...

This study examines valuation mechanisms and phased differences in the generative artificial intelligence (AI) industry. Taking OpenAI as the core case and comparing it with private leading firms such as Anthropic and listed peers, including NVIDIA and Microsoft, this research uses case analysis, cross-firm...

The valuation of semiconductor listing financing is one of the key issues in current research. The researchers have found that science and technology policies and enterprise size are of great significance to corporate financing, and have improved the model to better value the semiconductor industry....

Along with the diversified development of capital market, Venture Capital/Private Equity (VC/PE) Financing becomes an important funding sources of startups and growth businesses, providing financial support for enterprises to play a key role in the company’s strategic planning and resource allocation....

The valuation challenges in the Artificial Intelligence (AI) large model industry have highlighted the limitations of traditional valuation methods, while the construction of a valuation system with Chinese characteristics has provided a new logical dimension for the valuation of emerging technology...

In the global drive for sustainable development, ESG (Environment, Social, Governance) has become the key force pushing food companies to shift to green development. This paper studies how food companies use ESG to boost green development and then improve their brand competitiveness, and it has important...

Against the backdrop of tightening global ESG regulations, the deepening of China’s “dual carbon” goals, and the green development requirements of the 15th Five-Year Plan, the thermal power industry—as a key sector for carbon emissions—relies on high-quality ESG disclosure as an important lever for balancing...

With the transformation of global manufacturing industry to intelligence and the strategy of “Made in China 2025”, cross-border merge and acquisition (M&A) has become an important way for Chinese enterprises to acquire core technologies and realize industrial upgrading. This paper takes Midea Group’s...

This paper discusses the impact of semiconductor companies’ AI strategic investment on market valuation against the backdrop of AI technology development. The study selects 47 global semiconductor companies as a sample, using the revenue share of AI business and the density of AI keywords in annual reports...

With the worldwide energy transition and China’s dual carbon approach, ESG plays a critical role in determining long-term competitiveness and market value of traditional firms. In comparison with PetroChina and Sinopec, this paper has observed that ESG-driven change can help build strategic legitimacy,...

Green finance and global value chain (GVC) position are hot topics in current academic research, but the systematic combing of their relationship is not enough. This research utilizes a systematic literature review approach to integrate the related research from three dimensions: measurement method,...

Climate policy has moved to the center of global governance debates. It sits at the intersection of emission reduction goals and regional economic realities, and the tension between those two things is genuinely complicated. This paper looks at how the European Union (EU) and China have approached that...

With the continuous improvement of capital market interactive mechanisms, earnings briefings have become a core information exchange platform for listed firms and investors. To conceal adverse news, management frequently adopts irrelevant, vague replies, aggravating market information asymmetry. Based...

There are significant differences between China’s local pilot programs for transition finance, such as the assessment cycles, information disclosure, identification of transition activities, and incentive policies. The fragmentation of the transition standard provides an opportunity for the “Greenwashing”...

Green bonds now play an increasingly important role in channeling funds toward environmentally sustainable investment under China’s dual-carbon strategy. A major institutional change occurred in 2017, when China introduced pilot zones for green finance reform and innovation. Rather than treating that...

The green transformation of agriculture is the core approach to achieving the deep integration of the “dual carbon” goals with the rural revitalization strategy. It faces multiple constraints such as insufficient capital investment, weak risk prevention and control, and difficulties in realizing ecological...

Corporate green transformation has gradually started to drive the low-carbon upgrading of the real economy, as joined in with the all-round progress of the dual-carbon strategy and develop quality economy. It’s a kind of “green finance” and will help the company better solve the problems that need to...

Guided by China’s dual-carbon goals and ecological civilization construction strategy, green finance has become a core driver for the green and low-carbon transformation of the economy and society. Scientific measurement of its development level is a prerequisite for policy formulation, resource allocation...

In response to the insufficient consideration of physical climate risks, such as typhoons, in most current green bond risk-assessment systems, this paper takes typhoons as an example and uses GIS-based spatial analysis to quantify the typhoon exposure of project locations and examine its impact on green...

There is disagreement over the carbon footprint of digital inclusive finance. Panel data at the provincial level of China from 2011 to 2022 were used in this paper to study how and in what way the energy structure affects carbon emissions. Instead of the above-mentioned stable non-linear path, this paper...

Within the framework of global climate governance and sustainable development agendas, green finance serves as an essential instrument to reconcile economic expansion with ecological conservation. China has formed a policy-led green finance development model, achieving remarkable results in areas such...

At present, China has steadily promoted the dual carbon goal, and all walks of life are carrying out green transformation. Green finance is an important way to optimize resource allocation and promote sustainable development. Its role in the green innovation of enterprises is a key topic at the academic...

In the context of “dual carbon” goals and high-quality economic development, green finance has become a key tool to support the low-carbon transformation of the real economy. However, small and medium-sized enterprises, which have long been constrained by information opacity and insufficient collateral,...

At the same time, the United Nations and the Paris Agreement were adopted in 2015, and thus the green bond market has also expanded. However, its advantage in financing costs and the green premium have been relatively unstable across markets and over time. Systematically review the literature on green...

In 2012, the China Banking Regulatory Commission issued the “Green Credit Guidelines” aimed at guiding bank credit resources away from industries with higher environmental risks. Based on this background, this article explores whether the policy has significantly changed the debt financing choices of...

This paper aims to outline the practical path of the integrated development of green finance and Inclusive Finance. Given that the global efforts to promote green development and sustainable transformation and the popularization and promotion of green financial products in some small and medium-sized...

Against the backdrop of the 3060 goal, China is accelerating the green transformation of its economic and social development. Environmental finance channels capital into eco-friendly and decarbonized initiatives and performs a vital function in metropolitan carbon economies and balanced regional growth....

As one of the main institutional supports for the low-carbon development of heavily polluting enterprises, the impact of green credit on the carbon emission behaviour of firms and the corresponding transmission mechanism has not been studied in depth. The 6,392 firm-year observations of A-share heavy-polluting...

In 2017, the Chinese government established the first batch of Green Finance Reform and Innovation Pilot Zones (GFRIPZ), which were later expanded to “seven provinces and ten regions.” Green finance is financial activity supporting environmentally sustainable projects. The policy generates both positive...

The continuous deterioration of the climate in China and other places has raised public concern about air pollution. Therefore, in 2020, China set goals for the peak of carbon emissions and carbon neutrality, and building a green finance system has become one of the main policy choices to achieve these...