Global Financial Market Research Articles

Collapse of Silicon Valley Bank: Impacts on Startups & Global Financial Markets, Comparison Between Lehman Brother and Silicon Valley Bank Crises

The sudden collapse of Silicon Valley Bank (SVB) sent shockwaves through the startup ecosystem and the global financial landscape. This research delves into the factors that led to SVB's downfall, exploring how its unique role in supporting tech startups became a double-edged sword. By examining the parallels between SVB's crisis and the infamous collapse of Lehman Brothers in 2008, we uncover important lessons about risk management and the fragility of financial institutions. The fallout from SVB's failure didn't just affect its immediate clients; it rippled through the entire venture capital community and beyond, prompting startups to rethink their banking relationships and funding strategies. We reflect on the broader implications for the financial industry and the lessons learned about the need for diversification and sustainable growth. Ultimately, this research is a reminder of the interconnectedness of our financial systems and the human stories behind the numbers. As we navigate an ever-changing economic landscape, the insights gained from SVB's collapse will shape the future of banking and entrepreneurship for years to come.

Gold Price Inflation and Its Implications for Financial Markets: Strategies for Mitigation

Abstract: Gold prices are among the most important indicators in the global financial market. The international gold price has continued to rise in recent years, repeatedly setting new records, accompanied by a boom in gold consumption and investment. The rapid rise in gold prices is due to a combination of factors. Supply and demand, economic conditions, and geopolitical events can lead to price fluctuations. Among them, economic conditions depend on monetary policy, inflation expectations, and market volatility, which may affect the trend of gold prices. The rise in gold prices has exacerbated market volatility and put higher demands on risk management for financial institutions. At the same time, the rise in gold prices has also affected the entire financial industry and changed traditional asset allocation strategies. This article examines the influence of increasing gold prices on the financial market and proposes potential preventive measures or solutions through a survey of literatures, theoretical analysis and logical reasoning. At the same time, this can help financial traders plan their funds reasonably, reduce the impact of inflation and currency devaluation, and better cope with changes in international trade and exchange rates, thus allowing the financial market to operate better.

Assessing the Impact of Geopolitical Crises on Global Financial Markets: Insights from the Novel TVP-VAR Model

Assessing the Impact of Geopolitical Crises on Global Financial Markets: Insights from the Novel TVP-VAR Model

THE INTRODUCTION OF INNOVATIVE TECHNOLOGIES IN THE ACTIVITIES OF MODERN BANKS

Currently, traditional creative financial solutions are undergoing significant transformations, giving rise to new services designed for end users. Although the banking sector remains the main advanced segment for new technological solutions in the global financial market, it faces competition from emerging fintech companies. The integration of high-tech solutions enables banks to enhance the competitiveness of their offerings and redefine how these products are developed and distributed. A critical factor in boosting a bank’s competitiveness through innovative products is the rapid development and market introduction of these innovations, as this quick turnaround directly impacts the speed at which competitive advantages are gained. People’s need for banking solutions, namely products or services, directly creates a vector of further development, the very format of these solutions. The most important thing is the bank’s focus on the wishes of its direct customers In this important sector, it is possible to get ahead only thanks to such characteristics as cost optimization, assortment revision and, a specific customer base. Of course, we must take into account international trends, the integration of such new products is the main issue on the agenda. Thus, the introduction of innovative technologies into the work of domestic banks helps to increase their competitiveness. The objective of this study is to develop both theoretical and practical frameworks for assessing the impact of cutting-edge financial technologies on the evolving landscape of the banking system. Keywords: digitalization, Internet banking, mobile banking, banking credit technologies, digital money.

Global dynamics of the IPO market: structural analysis and growth prospects

The global IPO (Initial Public Offering) market continues to play a critical role in raising capital for companies across various economic sectors. However, its dynamics remain ambiguous due to cyclical fluctuations driven by economic, financial, and regulatory factors. The relevance of this topic lies in the increasing importance of understanding the forces shaping IPO success, given the globalization of financial markets and growing competition. A thorough examination of the factors that determine IPO performance and the future prospects of this mechanism is vital for stakeholders.The purpose of this paper is to conduct a comprehensive structural analysis of the global IPO market's dynamics, identify the key drivers of its development, explore regional differences, and assess the market’s growth potential amid ongoing global transformations. The focus of the study is the global IPO market, with particular attention to its economic, financial, and regulatory dimensions.The methodological approach centers on structural market analysis, utilizing statistical and comparative methods to explore market dynamics across different regions. The research is further grounded in an analysis of macroeconomic indicators, regulatory changes, investment trends, and technological advancements that influence the IPO market.This study examines the impact of financial market globalization, regulatory adjustments, and technological innovations on the development of IPOs in various regions worldwide. The role of macroeconomic stability, interest rates, and market volatility in shaping IPO demand is also explored. In addition, the research delves into sectoral differences and regional trends, particularly the activity of IPO markets in the U.S., Europe, and Asia.The conclusion addresses the growth prospects of the global IPO market amid continuous shifts in the global economy and provides practical recommendations for companies considering public offerings and investors interested in IPO market opportunities. The study highlights how firms can navigate these volatile conditions and what investors should consider when participating in IPOs.

Does the leadership style influence the office politics in performance appraisal? Empirical study from Malaysian financial sector

Employees play a pivotal role in the Malaysian financial industry, as this sector requires individuals capable of meeting the demands of the global financial market and enhancing Malaysia's position as a leading international financial hub. Consequently, employees' behavior and practices can significantly impact the institution's reputation. Previous research has identified office politics as a detrimental factor in organizational performance, prompting this study to investigate the impact of leadership styles on organizational politics within the context of performance appraisal. A survey was conducted through the distribution of questionnaires among 274 officers and clerical staff, selected using proportionate stratified random sampling from a Malaysian government financial institution based in Kuala Lumpur. Of the distributed questionnaires, 105 were completed and deemed usable. The study identified three reliable dimensions of politics in performance appraisal: acquiring benefits, human relations, and control. In examining leadership styles, the study found that the integrative leadership style was the only reliable dimension. Correlation analysis revealed that integrative leadership style generally correlates significantly and negatively with politics in performance appraisal. Specifically, integrative leadership style had a significant negative impact on the human relations and control dimensions. Regression analysis further indicated that integrative leadership style significantly and negatively influenced only the control dimension of performance appraisal politics. The study discusses the implications of these findings for future research and practice, as well as the limitations of the current study.

Cryptocurrencies under climate shocks: a dynamic network analysis of extreme risk spillovers

Systematic risks in cryptocurrency markets have recently increased and have been gaining a rising number of connections with economics and financial markets; however, in this area, climate shocks could be a new kind of impact factor. In this paper, a spillover network based on a time-varying parametric-vector autoregressive (TVP-VAR) model is constructed to measure overall cryptocurrency market extreme risks. Based on this, a second spillover network is proposed to assess the intensity of risk spillovers between extreme risks of cryptocurrency markets and uncertainties in climate conditions, economic policy, and global financial markets. The results show that extreme risks in cryptocurrency markets are highly sensitive to climate shocks, whereas uncertainties in the global financial market are the main transmitters. Dynamically, each spillover network is highly sensitive to emergent global extreme events, with a surge in overall risk exposure and risk spillovers between submarkets. Full consideration of overall market connectivity, including climate shocks, will provide a solid foundation for risk management in cryptocurrency markets.

Prediksi Harga Crypto dengan Algoritma Jaringan Saraf Tiruan

Cryptocurrency has emerged as a crucial element in the global financial market, prompting investor interest in predicting prices for informed investment decision-making. However, the highly volatile nature of cryptocurrency prices has made trading in the crypto market speculative and laden with significant risks. Therefore, this study aims to apply Artificial Neural Networks (ANNs) using the Long Short-Term Memory (LSTM) algorithm to forecast cryptocurrency prices. This method leverages the ANN's ability to recognize complex patterns and trends in historical cryptocurrency price data. The research findings demonstrate significant accuracy levels for three types of crypto: BTC (86.86%), BNB (96.8%), and Doge (97%). Evaluation was conducted using the k-fold cross-validation method with k=5, where data was divided into five equally sized groups. Accuracy was computed by comparing actual prices with those predicted by the LSTM model. This evaluation approach provides robust insights into the LSTM model's effectiveness in predicting cryptocurrency prices, considering significant data variations. The predicted values from this study are BTC at $4306, BNB at $58.7, and Dogecoin at $0.037. These implications underscore the critical role of the number of epochs in influencing the performance and accuracy of cryptocurrency price predictions. Thus, this research is poised to offer deeper insights into cryptocurrency market behavior and provide practical guidance for investors to make more informed and measured investment decisions.

Crisis and Reflection on the Banking Sector Based on the Collapse of Credit Suisse and Silicon Valley Bank

In March 2023, global financial markets were in the spotlight due to the failure of Credit Suisse and Silicon Valley Bank. This paper provides an analysis of two high-profile events, the takeover of Credit Suisse and the bankruptcy of Silicon Valley Bank. These two banks suffered from financial crises resulting from liquidity crunches and inadequate risk management systems, and the negative effects on their reputations began to spread to the outside world, this triggered widespread volatility in the financial markets and ultimately led to their downfall. Through research and data analysis, this article reveals the reasons behind the collapses of Credit Suisse and Silicon Valley Bank, this article discusses the reasons for the collapse of Credit Suisse and Silicon Valley Bank and discusses their far-reaching impact on the global financial market, especially the investment market. The article proposes feasible solution strategies, offering insights for the financial market and investment industry.

Key Factors for Financial Market Stability and Policy Response

This paper examines the stability of financial markets, emphasizing their importance in economic systems by enabling efficient capital allocation, risk transfer, and information dissemination. It explores the impact of market volatility on the economy, highlighting wealth effects and financing conditions. The study identifies key factors influencing market stability, including robust regulatory frameworks, transparency, and risk management systems. It also evaluates the effectiveness of monetary and fiscal policies in mitigating market fluctuations. The paper underscores the need for adaptive policies, analyzing historical and international experiences to provide insights for future stability measures. Finally, it stresses the importance of international cooperation in enhancing global financial market resilience, advocating for shared information, unified regulatory standards, and collaborative efforts among international financial institutions.

Comparative Analysis of ETF Arbitrage Strategy in Efficient and Inefficient Markets

This paper analyzes the different performance of an ETF arbitrage strategy in efficient and inefficient markets, the markets of the United States and Russia. It would initiate from the ETFs and their importance to the global financial market. Then, the paper introduced what the arbitrage strategy is, and how it works. Then, by comparing the key factors, it classifies efficient market, the U.S. market, and the inefficient market, the Russian market. In the paper, the S&P 500 ETF represents the U.S. market, and the VanEck Russia ETF (RSX) represents the Russian Market. The paper analyzes the performance in these two markets from 2016 to 2021 and ignores the transaction costs. The paper concluded that the ETF arbitrage strategy performed better in the inefficient market (Russia) compared to the efficient market (U.S.). Limitations are acknowledged in the paper, such as the effect of transaction costs, which would reduce the actual profits and returns, and that the historical market data might not strong enough in predicting the future performance of the market. These would lead to future research and further analysis to enhance the overall effectiveness of the project and make it aligns more closely with the real-world conditions.

The Beneficial Role of Silicon Valley's Technological Innovations and Venture Capital in Strengthening Global Financial Markets

This research explores the substantial influence of Silicon Valley's technology environment on worldwide financial markets. It looks at how Silicon Valley's technology developments and venture capital improve market efficiency, boost economic growth, and help to stabilize world financial institutions. The results highlight the importance of Silicon Valley's venture capital firms in not just providing vital financing but also in strategically selecting and growing entrepreneurs to include into a larger economic network. The increase in productivity in different industries is thanks to the groundbreaking advancements in artificial intelligence and microprocessor technology in Silicon Valley. These progressions have not just improved operational effectiveness greatly but also encouraged the emergence of fresh markets. Indoor air quality challenges emphasize the need for innovation in building design. (Ashayeri, M., Piri, S., & Abbasabadi, N, 2024). Dimensionality reduction in multimodal deep learning enhances accuracy and reduces computational costs, critical for efficient AI applications. (M Bodaghi, M Hosseini, R Gottumukkala, 2024) Silicon Valley, a prime example of innovation, still showcases its significant impact on shaping present financial environments as it continues to prosper. Despite the fact that the total quantity of money invested in various countries throughout the globe is always growing, this is the case. The accomplishments of this area may serve as a model for other regions that are interested in promoting economic growth via the deployment of cutting-edge technology and creative investment methods. These places can learn from this region's successes.

Exploration of the Reasons for the Federal Reserve’s Interest Rate Hike in 2022 and Evaluation of Policy Effectiveness

After the global economy experienced the impact of the new crown epidemic, the US economy recovered in 2022, but inflation rose rapidly, prompting the Federal Reserve (FED) to take interest rate hikes. This paper analyzes the background and reasons for the Fed’s interest rate hike in 2022, and evaluates its policy effect, aiming to provide experience and lessons for future monetary policymaking. The main findings include: that the interest rate hike significantly reduced the inflation rate in the United States, from 8.0% in the first quarter to 5.67% in the fourth quarter; In the short term, interest rate hikes will hinder the economy, but in the long term, they will help promote stable growth; The interest rate hike led to stock market fluctuations and bond market yields rising, the credit market tightening, and increased the instability of the global financial market; Urge other countries to adjust their monetary policies and increase global economic uncertainty. The significance of this paper is to expand the theory of international financial and monetary policy and provide comparative research value for the policy-making of emerging market countries and developing countries. The policy recommendations include: the United States should strengthen policy transparency and financial supervision to promote the optimization of economic structure; Other countries should strengthen macro policy coordination, improve financial regulatory capacity, achieve economic diversification, maintain monetary policy flexibility, and promote the healthy development of cross-border capital flows.

Exploring the Influence of Financial Literacy on Mobile Financial Service Usage: An Ordered Probit Analysis

Mobile financial service, an emerging form of financial services that has developed alongside the internet and mobile devices, are becoming increasingly significant in the global financial market. Financial literacy is crucial for safely and effectively using these services, as it equips individuals with the necessary knowledge and skills to navigate the digital financial landscape, make informed decisions, and manage their finances responsibly. This study explores the link between financial literacy and the use of mobile financial services, aiming to promote financial inclusion and help users benefit from mobile banking technologies. The results indicate that the impact of objective financial literacy varies significantly across different types of mobile financial services. It boosts the utilization of mobile banking services, with coefficient 0.025 (p<0.01), while simultaneously reducing the frequency of mobile payments and transfers, with coefficients -0.041 and -0.012 respectively (p<0.01). The results also show that subjective financial literacy always positively relate to the use of mobile banking, mobile payments and mobile transfers, with coefficients 0.038, 0.044 and 0.03 respectively (p<0.01). Further, this paper investigates how financial literacy miscalibration affects the use of mobile financial services. The results show that individuals who over-evaluated their financial literacy are more likely to use mobile financial services than individuals who under-evaluated or correct-evaluated their financial literacy. The results serve as decisive evidence for policymakers to enhance consumer financial literacy, thereby improving their use of mobile financial services. Future studies could delve deeper into the underlying reasons for the differential impact of objective financial literacy on various MFS types.

Analyzing Overnight Momentum Transmission: The Impact of Oil Price Volatility on Global Financial Markets

Fluctuations in oil prices substantially impact both the real economy and international financial markets. Despite extensive studies on oil market dynamics and overnight momentum, a comprehensive understanding of the link between oil price changes and energy market momentum, as well as their broader influence on global financial markets, remains elusive. This study delves into the intricate mechanics of overnight momentum transmission within financial markets, focusing on its origin in oil price fluctuations and its overarching impact on market dynamics. Employing the quantile VAR method, we analyze daily market data from 3 January 2014 to 17 January 2024. This study emphasizes the significance of overnight momentum on the transmission of volatility, particularly in the tails of the distribution, and highlights the necessity for efficient strategies to govern financial stability. The shale oil revolution, COVID-19, the Russia–Ukraine war, and the Israel–Hamas conflict have significantly impacted the interconnectivity of financial markets on a global scale. It is crucial for policymakers to give priority to the monitoring of the energy market to reduce risks and improve the resilience of the system.

Beyond the glitter: An empirical assessment of the true risk and hedging role of precious metals

Precious metals are an essential component of asset class within the global financial market offering diverse benefits. Being significant store of value, they are immune to default risk, provide hedge against inflation and are deemed to be safe haven. This highlights the importance of precious metals in the broader context of financial and economic stability. This paper focuses on the S&P Precious Metal Index (PMI) to explore its resilience towards financial market risks and examines if it could offer effective hedge during crises. Using Markov Regime Switching model, we find significant volatility persistence in PMI returns undermining its suitability for dynamic hedging. However, absence of speculative trends makes the PMI a safe asset. Further, financial market stress, as revealed by estimated Component GARCH and Discrete Threshold Models, does not affect the unique and market risk of investing in PMI. Although we could not establish PMI as a strong safe haven or a zero-beta asset, its potential to be included in a risk-avert investor's portfolio cannot be negated. Its consistently low and stress-invariant time-varying beta safeguards wealth against losses. The role of PMI becomes particularly salient while considering portfolio optimization during crises. In recent years, particularly during and after the pandemic the hedging effectiveness of PMI has increased. There is, however, a point of concern. The market risk of PMI is explained mostly by its lagged values rather than exogenous factors like market stress. Given the endogenous nature of market risks, chaotic dynamics might be in operation making forecasting and regulating PMI prices difficult.

Between Exchange Rate Returns and Crude Oil Returns in Oil-Importing Countries

Fluctuations in the financial markets stem from the reactions of investors to both market activities and more wide-ranging macroeconomic indices. This research examines the interconnectivity between returns on exchange rates and crude oil prices for ten oil-importing countries. Quarterly data spanning the period from 2000Q1 to 2022Q4 was used in the estimation. Returns had to be calculated from raw data, which were exchange rates and crude oil prices. The research methodologies include quantile regression and VAR-GARCH estimations. The study revealed a long-term association between crude oil market returns and foreign exchange markets, with currency fluctuations negatively impacting crude oil returns. The spill-over effect from the currency market to the oil market is weaker than the transmission effect from the oil market to the currency market of oil-importing countries. In particular, it was empirically established that shocks from past volatility in the currency markets of countries that import oil had commensurately lower volatility in the oil market by 6 percent. Whereas, the spillover from the crude oil market to the currency market depicts that increased turbulence on the crude oil market in the current period stimulated 55.66 percent amplified volatility in the currency market for oil-importing nations. Oil returns had a volatility persistence value of 0.1255, ratifying the weak volatility persistence of oil returns. The size of the volatility persistence of exchange rate returns is 0.997, an indication of high volatility persistence for currency returns. The study found the absence of leverage effects for currency values given a positive coefficient with a magnitude of 0.8529. In other words, bad news does not cause higher turbulence in exchange rate returns than good news will. For crude oil returns, the size of the leverage effects term is -0.0529, which is negative and significant (p<.05), implying that bad news in oil-importing economies has asymmetric impacts on the volatility of returns on crude oil prices. In effect, the oil price returns react more strongly to bad news than these returns react to good news. The findings of the study underscore the intricate relationships between local currencies and energy prices within the context of a global financial market, highlighting the significance of understanding these dynamics for effective decision-making and risk management in an increasingly interconnected world. It was recommended, among others, that international collaboration amongst countries is crucial given the global nature of energy markets.

Nonlinear network connectedness: Assessing financial risk transmission in MENA and influence of external financial conditions

This study investigates the influence of global financial market conditions on financial risk connectedness and transmission among the Middle East and North Africa (MENA) economies. Utilizing weekly realized stock market volatilities as a measure of risk and employing a smooth transition threshold vector autoregressive (STVAR) model to analyze risk transmission under varying levels of financial stress, the authors also examine the impact of external macroeconomic conditions on the risk connectedness of MENA economies. The results indicate that the overall connectedness, based on a standard VAR model, is moderate at 48.34%. However, in the low financial stress regime, overall connectedness increases to 52.79%, and in the high financial stress regime, it rises to 72.94%, indicating stronger risk interdependency among MENA countries during times of high stress. In the high financial stress regime, Kuwait, Oman, Qatar, Saudi Arabia, Turkey, and the United Arab Emirates are identified as net risk transmitters among MENA countries. The study also reveals that risk transmission across MENA is more pronounced in the regime-dependent model compared to the overall mean-based VAR model.

Complex Network Model of Global Financial Time Series Based on Different Distance Functions

By constructing a complex network model grounded in time series analysis, this study delves into the intricate relationships between the stock markets of 18 countries worldwide. Utilizing 31 distinct time series distance functions to formulate the network, we employ Hamming distance to quantify the resemblance between networks derived from different distance functions. By modulating the network density through distance percentiles (p=0.1, 0.3, 0.5), we demonstrate the similarity of various distance functions across multiple density levels. Our findings reveal that certain distance functions exhibit high degrees of similarity across varying network densities, suggesting their potential for mutual substitution in network construction. Furthermore, the centroid network identified via hierarchical cluster analysis highlights the similarities between the stock markets of different nations, mirroring the intricate interconnections within the global financial landscape. The insights gained from this study offer crucial perspectives for comprehending the intricate network structure of global financial time series data, paving the way for further analysis and prediction of global financial market dynamics.

Predicting cryptocurrency price trends using artificial intelligence methods

This article comprehensively explores multiple aspects of cryptocurrencies and their price forecasting. Firstly, the article introduces the definition of cryptocurrency and its development process on a global scale, especially focusing on the launch of Facebook Libra and China's central bank digital currency, highlighting the importance and influence of digital currency in the global financial market. Subsequently, the article analyzes the advantages of digital currencies over traditional currencies, including improving economic transaction efficiency, reducing transaction costs and enhancing transaction transparency. Finally, through specific experimental analysis, the effectiveness of using the deep learning model CNN-LSTM to predict the price of Bitcoin is demonstrated, and the directions of future research and optimization strategy are proposed. In summary, this paper comprehensively presents the research status and prospects of cryptocurrency and its price prediction field through systematic introduction and analysis.