Market Liquidity Research Articles

AN INVESTIGATION ON NONLINEAR OPTION PRICING BEHAVIOURS THROUGH A NEW FRÉCHET DERIVATIVE-BASED QUADRATURE APPROACH

Abstract Complicated option pricing models attract much attention in financial industries, as they produce relatively better accurate values by taking into account more realistic assumptions such as market liquidity, uncertain volatility and so forth. We propose a new hybrid method to accurately explore the behaviour of the nonlinear pricing model in illiquid markets, which is important in financial risk management. Our method is based on the Newton iteration technique and the Fréchet derivative to linearize the model. The linearized equation is then discretized by a differential quadrature method in space and a quadratic trapezoid rule in time. It is observed through computations that the accurate solutions for the model emerge using very few grid points and time elements, compared with the finite difference method in the literature. Furthermore, this method also helps to avoid consideration of the convergence issues of the Newton approach applied to the nonlinear algebraic system containing many unknowns at each time step if an implicit method is used in time discretization. It is important to note that the Fréchet derivative supports to enhance the convergence order of the proposed iterative scheme.

Testing the waters meetings, retail trading, and capital market frictions

AbstractPre-IPO firms may “test the waters” by meeting privately with investors in order to allow access to management and more time to make an investment decision. However, these meetings have the potential to undermine the SEC’s objectives of protecting investors and supporting market efficiency by allowing institutional investors, but not retail investors, private access to management. We find lower retail trading after IPOs of firms that held testing-the-waters meetings, consistent with the meetings reducing retail investor participation. Moreover, retail investors that still participate in the market in the presence of testing-the-waters meetings have inferior investment outcomes. Nonetheless, we find no evidence of lower overall market liquidity or slower price discovery following testing-the-waters meetings. In fact, we observe a reduction in stock return volatility. Overall our evidence suggests that, while testing-the-waters meetings may harm retail investors, there does not appear to be a negative impact on overall market function.

Impact of using derivatives on stock market liquidity

This study demonstrates that using derivatives can significantly improve stock liquidity. We conduct several tests to check for robustness of our findings and control for potential endogeneity in our results. We observe that the decrease in stock illiquidity due to derivative usage is more pronounced for firms with high information asymmetry, high firm-specific risk, and negative investor sentiment. Ownership stakes held by foreign institutional investors and domestic promoters do not influence how derivative usage affects stock liquidity. This relationship is significant in the presence of large and independent boards. Our results emphasize the liquidity creation role of derivative usage, which complements other functions of derivatives markets, such as price discovery and risk management. Our findings are relevant for companies operating in foreign capital markets and for international investors who include Indian stocks into their portfolios.

AI-ENHANCED PORTFOLIO MANAGEMENT: CRAFTING OPTIMAL INVESTMENT STRATEGIES FOR DIVERSE FINANCIAL MARKETS

This study investigates the transformative potential of artificial intelligence (AI) in portfolio management across diverse financial markets. It aims to develop a comprehensive framework that enhances investment strategies in developed, emerging, and frontier markets through AI techniques. The research will employ a mixed-methods approach, combining quantitative and qualitative methodologies. Initially, extensive secondary data will be collected from market reports, financial databases, and previous studies. This data will encompass market-specific characteristics, AI-based portfolio strategies, and financial indicators. AI methods, including neural networks, machine learning models, and natural language processing applications, will then be utilized to analyze portfolio performance across various market scenarios. The anticipated outcome of this study is a versatile AI-driven framework that accommodates the unique aspects of different financial markets. By optimizing asset allocation, risk management, and predictive analytics, this framework will provide portfolio managers with evidence-based recommendations to enhance the stability and performance of their investments. The study aims to demonstrate how AI can mitigate risks associated with market volatility, liquidity issues, and regulatory constraints, leading to a more resilient and data-driven approach to portfolio management on a global scale KEYWORDS: AI integration in finance, Portfolio performance metrics, Compounded Annual Growth Rate (CAGR), Volatility reduction

ROLE OF FINANCIAL INSTRUMENTS IN ENSURING LIQUIDITY AND STABILITY OF THE CURRENCY MARKET OF UKRAINE IN THE CONDITIONS OF MILITARY CONFLICT

In the conditions of military actions, liquidity of the currency market is of critical importance for the financial stability and security of the state, which stipulates significant relevance of the issue of instruments of liquidity provision. The research aims to identify the influence of the instruments of the National Bank of Ukraine (NBU) on the liquidity of the currency market of Ukraine within the context of long-term military conflict.The methods of regression analysis, correlation analysis, and analysis of variance were used in the study to determine the leading factors that influence the liquidity of the currency market in Ukraine in the conditions of military conflict.The study of the liquidity of the currency market through the prism of linear regression reveals the relation between the core economic indicators and the level of liquidity of the currency market during the military conflict. The model with a coefficient of determination 0,774 was found to effectively describe 77,4% of liquidity variability, underlining the significant influence of such factors as central bank policies and macroeconomic conditions. Significant coefficients for central bank interventions (1,7867), regulatory measures (59,8199), volume of international aid (-1,5684) and inflation (-99,9780) indicate their influence on the liquidity of the currency market in the conditions of military conflict. The influence of regulatory measures with a correlation of 0,59 is especially important.The article emphasises the necessity for minimising dependence on external financing and inflation control through monetary measures to ensure price stability. Further study perspectives involve consideration of the influence of digital currency of central banks on the liquidity of the currency market.

Examining the Relationship Between Macroeconomic Indicators and Stock Market Development in Morocco

The literature is still debating the key macroeconomic variables influencing the stock market development. This paper attempts to provide an empirical study to identify the macroeconomic conditions required for the stock market development in a developing country, in this case, Morocco. The goal is to determine whether macroeconomic variables can improve Moroccan stock market development. The purpose of this study, which covers the period 1996-2020, is to determine the macroeconomic factors that contribute the Moroccan stock market development. It examines the impact of economic growth, banking sector development, stock market liquidity, foreign direct investment and macroeconomic stability measured by the Barro’s Misery index. The autoregressive distributed lag approach (ARDL) was estimated, to get both the short and long run coefficients of the macroeconomic variables that determine Moroccan stock market development. The results reveal that stock market liquidity, banking sector development and foreign direct investment effect positively Moroccan’s stock market development, but macroeconomic stability effects it negatively. While the economic growth does not impact it, whether for the short or long run. There have been no relevant studies that have focused on the macroeconomic determinants of the Moroccan stock market in the short and long terms, despite the fact that theoretical and empirical literature offers diverse perspectives on which factors can determine stock market development. By examining the macroeconomic variables that contribute to Moroccan stock market development and introducing the misery index to assess the effects of macroeconomic stability, this study seeks to enrich the literature.

Short-Term Electricity Futures Investment Strategies for Power Producers Based on Multi-Agent Deep Reinforcement Learning

The global development and enhancement of electricity financial markets aim to mitigate price risk in the electricity spot market. Power producers utilize financial derivatives for both hedging and speculation, necessitating careful selection of portfolio strategies. Current research on investment strategies for power financial derivatives primarily emphasizes risk management, resulting in a lack of a comprehensive investment framework. This study analyzes six short-term electricity futures contracts: base day, base week, base weekend, peak day, peak week, and peak weekend. A multi-agent deep reinforcement learning algorithm, Dual-Q MADDPG, is employed to learn from interactions with both the spot and futures market environments, considering the hedging and speculative behaviors of power producers. Upon completion of model training, the algorithm enables power producers to derive optimal portfolio strategies. Numerical experiments conducted in the Nordic electricity spot and futures markets indicate that the proposed Dual-Q MADDPG algorithm effectively reduces price risk in the spot market while generating substantial speculative returns. This study contributes to lowering barriers for power generators in the power finance market, thereby facilitating the widespread adoption of financial instruments, which enhances market liquidity and stability.

A Study on the Impact of Indian Taxation on Virtual Digital Assets in India

The study explores the implications of India's taxation policies on Virtual Digital Assets (VDAs), including crypto currencies and non-fungible tokens (NFTs). With the introduction of the Finance Act of 2022, which imposed a 30% tax on VDA profits and a 1% Tax Deducted at Source (TDS) on transactions, the digital asset landscape in India has undergone significant shifts. This research examines the economic and behavioural impact of these regulations on individual investors, start-ups, and the broader VDA ecosystem. The findings suggest that the flat tax rate and TDS have led to reduced market liquidity and deterred small-scale traders, highlighting challenges in compliance and record-keeping. However, these measures also formalize the VDA market, potentially attracting institutional investors by providing regulatory clarity. The study identifies gaps in the current policies and offers recommendations to balance regulation with market growth, ensuring a sustainable future for India's VDA sector.

From Algorithms to Market Dynamics: A Literature Review on High-Frequency Trading

Abstract: High-frequency trading (HFT) uses advanced technologies and sophisticated algorithms to make transactions at unprecedented speeds, which could significantly impact modern financial markets. This literature review examines the technological foundations, primary trading strategies, market impacts, regulatory environment, risk management practices, and future research directions in HFT. The findings reveal that HFT could increase market liquidity and price discovery but also increase volatility during periods of high market stress. Regulatory frameworks such as the SECs Market Access Rule and MiFID II aim to monitor and control HFT activities, at the same time effective risk management practices are crucial for maintaining market stability. Future research should focus on emerging technologies such as AI, ML, quantum computing, and blockchain, along with a better understanding of market structure and global regulatory coordination. This review provides valuable insights for market participants, regulators and researchers, contributing to a balanced perspective on HFTs role in contemporary financial markets.

A Hierarchical-Dealer-Centric Model of FX Swap Valuation

This paper constructs a model of foreign exchange (FX) swap valuation based on dealers’ behavior and the hierarchy of the global dollar funding system. International investors use these currency derivatives to synthetically fill their US-dollar funding gaps. In this model, three attributes of market structure drive the valuation of FX swaps: market-making costs (measured by dealers’ bid-ask spreads), dollar funding liquidity risk (measured by CIP deviation and market imperfections), and FX swap market liquidity (measured by dealer competition). The goal is to understand how market design influences the cost of US dollar funding and its spillover effects. FX dealers are vital institutions in this ecosystem, as their balance sheets connect national monetary systems to the global dollar funding markets. For currencies with low FX turnover, central banks act as market makers, while private banks serve as dealers for currencies with the highest FX turnover. Studying the “dollar funding gap” through the lens of FX swap dealers is a crucial aspect often overlooked in international finance scholarship.

Price-mediated contagion with endogenous market liquidity

AbstractPrice-mediated contagion occurs when a positive feedback loop develops following a drop in asset prices which forces banks and other financial institutions to sell their holdings. Prior studies of such events fix the level of market liquidity without regards to the level of stress applied to the system. This paper introduces a framework to understand price-mediated contagion in a system where the capacity of the market to absorb liquidated assets is determined endogenously. In doing so, we construct a joint clearing system in interbank payments, asset prices, and market liquidity. We establish mild assumptions which guarantee the existence of greatest and least clearing solutions. We conclude with detailed numerical case studies which demonstrate the, potentially severe, repercussions of endogenizing the market liquidity on system risk.

Performance of Closed-Ended Mutual Funds: A Test of Market Efficiency

Background: Mutual funds, known for aggregating funds from a diverse investor base, play a crucial role in managing small funds smartly. This study evaluates the performance of selected closed-ended mutual funds and examines market efficiency in Nepal. Methods: Using a descriptive and casual-comparative research design, the study spans forty-eight months from January 15, 2018, to January 14, 2022. Monthly data from five mutual funds are analyzed, with metrics such as the Treynor ratio, Sharpe ratio, and Jensen alpha. The study variables include market returns, assets, expense ratios, fund age, liquidity, and mutual fund returns. Various statistical tests, including correlation analysis, Integrated Ranking Analysis, ANOVA test, t-test, and P-value tests, are conducted to determine the significance and statistical relevance of the study variables. Results: The findings reveal that mutual fund performance is influenced by factors such as return, age, liquidity, asset, and expense ratio. Expense ratio and age emerge as the most impactful factors, demonstrating a statistically significant relationship with market return (p < 0.05). All selected mutual funds outperform the market return (NEPSE), with Sanima Equity Fund securing the top rank in all three measures. Conclusion: The Sharpe ratio, Treynor ratio, and Jensen alpha measures for mutual funds surpass those of the market, indicating market inefficiency in its semi-strong form. Novelty: This study uniquely evaluates closed-ended mutual funds using comprehensive performance metrics, demonstrating their significant outperformance compared to market benchmarks. It underscores their effectiveness in actively managing passive funds and challenges the efficient market hypothesis.

Capital market opening, digital transformation and corporate risk-taking ——empirical evidence from Shanghai Shenzhen-Hong Kong stock connect

"Shanghai-Hong Kong stock connect" and "Shenzhen-Hong Kong stock connect", as important policies for the two-way opening of China's capital market, have positive effects on expanding investment channels for investors and improving market liquidity. Taking Shanghai Shenzhen-Hong Kong stock connect as a quasi natural experiment, this paper examines the impact of capital market opening on corporate risk-taking and its mechanism by using a multi period DID model. The empirical results show that the Shanghai Shenzhen-Hong Kong stock connect can reduce corporate risk-taking, and digital transformation plays a positive moderating role between the two; the mechanism analysis finds that the Shanghai Shenzhen-Hong Kong stock connect reduces corporate risk-taking by increasing analysts' attention, and this indirect impact process is also positively moderated by digital transformation. The heterogeneity test finds that the impact of Shanghai Shenzhen-Hong Kong stock connect on corporate risk-taking is mainly reflected in the companies with higher product market competition and faster regional marketization process. The above conclusions provide empirical evidence for the effectiveness of the capital market opening policy at micro level, and provide enlightenment for the role of digital transformation in promoting healthy development of the capital market.

Insider trading at a random deadline with correlation between dynamic asset and stochastic liquidity

We propose a generalized continuous-time insider trading model, building upon the frameworks of Caldentey and Stacchetti (2010) and Collin-Dufresne and Fos (2016), with a correlation between the value of a risky asset following an Ornstein-Uhlenbeck-type process and the noise trading volume with volatility characterized by a general stochastic process. And a closed form of the market equilibrium is established, consisting of the insider's trading strategy and the market makers' pricing rule. It shows that at the equilibrium: (i) all of the insider's private information is released at the end of the transaction; (ii) market depth and market liquidity evolve as semi-martingales, respectively; and (iii) the equilibrium price is driven by a bridge process that solves an Ornstein-Uhlenbeck-type SDE. Numerical simulations show that as the correlation coefficient increases, the equilibrium price becomes more informative, leading to a decrease in both the trading intensity and the expected payoff for the insider.

The impact of stock index futures margin levels on market quality

We examine the impact of margin levels on market quality in the China Shanghai–Shenzhen 300 (CSI 300) Stock Index Futures market. Utilizing microstructure theory and the OPOK model, we specifically focus on volatility, liquidity, and effectiveness. Our findings reveal that lowering the margin level for stock index futures reduces capital constraints for both informational and non-informational traders. Furthermore, we show that a reduction in margin levels enhances market liquidity and effectiveness. Improvements in liquidity and effectiveness subsequently reduce market volatility, indicating that a decrease in margin levels does not necessarily increase market risk. Based on these results, we recommend setting margins for stock index futures with comprehensive consideration of their combined effects on volatility, liquidity, and effectiveness.

Impact of Equity Liquidity on Corporate Value—— Based on The Empirical Analysis of China's A-Share Listed Companies

Since the establishment of the Shanghai and Shenzhen Stock Exchange, China's stock market has experienced a development process from scratch, from small to large, and from weak to strong. During this period, the liquidity of China's stock market has increased significantly. The stock market can affect the real economy by changing the motivation and influencing the behavior of enterprises, which is crucial to economic development. Many scholars at home and abroad have studied the impact of stock liquidity on enterprise value from different perspectives. This paper finds that the stock liquidity has a significant positive impact on the value of enterprises. The higher the level of stock liquidity, the higher the enterprise value, and the company's equity structure can play a role as an intermediary variable in the process of stock liquidity affecting the enterprise value.

Effect of media freedom on liquidity and information asymmetry: evidence from non-U.S. stocks in the NYSE

ABSTRACT While previous studies have mainly explored the impact of media freedom on macroeconomic variables, there is a relative scarcity of research on how media freedom affects stock markets. This paper examines the relationship between media freedom and the liquidity and information asymmetry of non-U.S. stocks listed on the New York Stock Exchange by demonstrating how these factors affect the liquidity dynamics of stocks from countries with varying degrees of media freedom. Ultimately, this study reveals that non-U.S. stocks from countries with limited press freedom experience poorer market liquidity. These conclusions hold even when considering a broader concept, voice and accountability, which includes media freedom, as well as different measures of liquidity and asymmetry, which reaffirms the reliability of the results. Our research illustrates the vital significance of media freedom in enhancing the liquidity of individual company stocks and mitigating market information asymmetry, suggesting that a nation’s press freedom can profoundly influence its stock market performance.

Dampak Rasio Kecukupan Modal dan Risiko terhadap Profitabilitas pada Bank Konvensional di Indonesia

Purpose: To determine the effect of capital adequacy ratio, market risk, credit risk, liquidity risk, operational risk, bank size, and other variables on banking profitability in Indonesia. Methodology: Panel data regression analysis; purposive sampling; capital adequacy ratio, market risk, credit risk, liquidity risk, operational risk, bank size as instruments; 39 banks listed on Indonesia Stock Exchange; return on assets as dependent variable. Results: Capital adequacy ratio and bank size have a positive and significant influence on profitability. Credit risk and operational risk have a significant negative effect. Market risk and liquidity risk have no significant effect. Limitations: The study is limited to data from banks listed on the Indonesia Stock Exchange between 2018-2024, so it may not reflect conditions outside this period or region. Contribution: This research is useful in the fields of banking management, corporate finance, and investment strategy.

The Mediating Effect Of Market Liquidity On The Relationship Between Financial Liberalization And Stock Market Returns Among East Africa Community Member Countries

The motivation for this study stems from the critical role of financial markets in economic development and the need to understand the factors influencing stock market performance in the East African Community (EAC) member countries. Financial liberalization, market liquidity, and macroeconomic stability are pivotal in shaping stock market returns. However, empirical studies examining these relationships within the EAC context are limited, prompting this comprehensive analysis. The general objective of this study was to investigate the effect of financial liberalization, market liquidity, and macroeconomic factors on stock market returns among EAC member countries. The study was anchored on the theory of financial liberalization, neoclassical theory, efficient market hypothesis, behavioral finance theory, and the general theory of employment, interest, and money. Data were collected from secondary sources, including financial reports, stock exchange databases, and relevant economic databases, covering the period from 2002 to 2021.The study employed fixed-effects regression models, chosen based on the Hausman specification test, to control for unobserved heterogeneity across countries. Baron and Kenny’s approach was used to test for mediation and moderation effects. The analysis involved examining the direct and, mediating relationships between the key variables. The findings revealed that financial liberalization significantly and positively affects stock market returns. Conversely, market liquidity was found to mediate this relationship, enhancing the positive effects of financial liberalization. The study concludes that financial liberalization is a crucial determinant of stock market performance in the EAC region. Market liquidity plays a significant role in amplifying the benefits of financial liberalization. For policymakers, the study recommends policymakers in EAC should focus on developing infrastructure that supports efficient trading systems. This recommendation is based on the finding that higher market liquidity significantly boosts the positive effects of foreign assets and liabilities on stock market returns

WITHDRAWN: the Impact of Monetary Policy on the Liquidity of Bond Market——Based on Chinese Local Government Bond Market

The bond market serves dual roles in fiscal and financial spheres, playing a crucial role in coordinating monetary policy. This paper investigates the impact of quantitative and price-based monetary policies on the liquidity level of China’s bond market. A comprehensive index measuring the liquidity of the local bond market is constructed using a combination weighting method that integrates the entropy method and the coefficient of variation. Employing the time-varying stochastic volatility structure vector autoregression (TVP-SV-SVAR) model on data spanning from 2013 to 2021, the study empirically compares the impulse response of local bond market liquidity to monetary policy shocks. Findings reveal that both types of monetary policy operations exhibit asymmetric, nonlinear, and time-varying impacts on bond market liquidity. Quantitative monetary instruments induce deeper impulse responses, with longer-lasting effects. These conclusions offer insights for monetary policy reforms and bond market development in China.