Affect Asset Prices Research Articles

HOW MONETARY POLICY CAN IMPACT FINANCIAL CRISIS?

Central banks tend to participate in the market to calm and deflect the disasters generating a tangled relationship between monetary policy and financial crises.The money supply and interest rates that are present in the market as a result of central bank policy can affect asset prices and investor confidence.This study investigates the relationship between developing monetary policy options during a financial crisis and shedding light on the choices that lead to optimal balance and prevent development of existing weaknesses.It also emphasizes that, even with experience, there should be no loose ends and that precautions should be made to avoid long-term, systematic problems.The purpose of these monetary policy tools is to balance the needs of inflation control, economic growth, and financial stability. The RBI frequently makes changes to these tools because macroeconomic data and economic conditions are ever-changing.Throughout its recent economic history, India has suffered various financial crises, indicating to reasons, such as bad fiscal management, foreign shocks, or troubles with the banking industry. The vulnerability of India's financial system to both internal and external shocks is shown by crises such as the COVID-19 Crisis of 2020. In order to improve crisis management practices and encourage preventative actions to decrease the likelihood that such disasters will occur again, the RBI and the Indian government have strengthened financial legislation and regulations. Strategies that reduce the damage caused by financial crises are developed in order to comprehend the relationship between monetary policy and these occurrences. KEYWORDS: Monetary policy, Financial crisis, Macroeconomic, Central bank, Economic growth.

Islamic Finance and Economic Performance: A Panel Analysis in Selected Countries

Financial crises, and stock markets over the years have amply shown how investors’ sentiment affect asset prices and the effectiveness of stock markets. Such a crisis brought down financial institutions sent stock markets tumbling, and left consumers scrambling due to subprime mortgages. With this, Islamic finance adoption has driven demand for Islamic financial products being free from interest. Hence, this study aimed to determine how Islamic finance can influence the economy of 19 selected countries adopting Islamic finance. These countries have marginal to significant scores in Islamic Finance across the years. This study utilized panel data from 2013 to 2021, which was gathered from the Global Islamic Finance Report, Global Innovation Report, and World Bank. A number of diagnostic tests and analyses were performed in order to reach a result that addressed the objectives and problem statement. The Panel Corrected Standard Errors analysis was used as the final model to treat heteroscedasticity, cross-sectional dependence, and autocorrelation. Based on the regression results, Islamic finance has a positive and statistically significant effect on the economy. The regression results indicate a positive and statistically significant impact of Islamic finance on the economies of the studied countries. This finding underscores the potential of Islamic finance to stimulate economic growth, enhance financial stability, and foster inclusivity in financial markets. Consequently, the findings highlight the pivotal role of macroeconomic variables and the adoption of Islamic finance principles in shaping economic outcomes.

The Real-Time Impact of Political Risk on Market Valuations: Evidence from Peru

This study examines the impact of political risk on financial markets by leveraging high-frequency (minute-by-minute) price data and precise event timestamps from media outlets’ Twitter feeds during Pedro Castillo’s failed coup attempt in Peru. Unlike previous research that relies on low-frequency data and protracted political changes, our analysis demonstrates that daily closing prices may misleadingly suggest negligible impact. In contrast, high-frequency data reveal that markets promptly and accurately incorporated news of the coup attempt and, in turn, its failure into asset prices. Our analysis shows that breakdowns in democratic governance negatively affect asset prices, while the restoration of the rule of law, in the form Congressional checks on the Executive branch, boosts them. Moreover, our analyses suggest that domestic companies and sectors with less mobile assets are more vulnerable to these political risks. Our findings underscore the crucial role of high-frequency data in accurately capturing how institutions and political risk affects equity markets.

How nonlinear benchmark in delegation contract can affect asset price and price informativeness

How nonlinear benchmark in delegation contract can affect asset price and price informativeness

How does node centrality in a financial network affect asset price prediction?

How does node centrality in a financial network affect asset price prediction?

The Effect of Global Monetary Policy Changes on the Financial Strategy of International Companies

In the interconnected global economy, the financial strategies of international corporations play a crucial role in navigating the dynamic landscape shaped by various factors, including monetary policies set by central banks worldwide. This narrative explores the intricate interplay between global monetary policy changes and the financial strategies of multinational corporations, investigating how shifts in these policies reverberate across borders, impacting corporate decision-making, risk management, and performance. Over recent decades, significant transformations in monetary policy frameworks have occurred, driven by evolving economic paradigms, financial crises, and geopolitical dynamics. Central banks have deployed a range of tools, from conventional inflation targeting to unconventional measures like quantitative easing, to stabilize economies and stimulate growth. However, the effectiveness and unintended consequences of these policies transcend domestic boundaries, permeating the international financial system and shaping the strategic imperatives of multinational corporations. The impact of global monetary policy changes on international companies' financial strategies is substantial. U.S. monetary policy shocks notably affect foreign firms, especially those with extensive global production linkages and financial constraints. Financial globalization has made domestic financial conditions more vulnerable to external shocks, reinforcing the case for price stability as an optimal monetary rule. The volatility of foreign currency exchange rates significantly affects international budgeting, while multinationals with foreign involvement exhibit lower leverage ratios and rely more on short-term borrowing. One primary channel through which global monetary policy changes influence international companies is by altering financing costs and access to capital. Changes in interest rates and liquidity conditions affect borrowing costs for firms operating across borders, impacting investment decisions, capital allocation, and capital structure optimization. Additionally, these changes induce currency fluctuations and volatility, necessitating robust currency risk management strategies to safeguard revenues and mitigate exchange rate exposure. Furthermore, global monetary policy changes affect asset prices, financial markets, and investor sentiment, shaping the risk-return dynamics faced by international companies. Expansive monetary policies often fuel asset price inflation and influence investment strategies, while abrupt policy shifts can trigger market dislocations and liquidity constraints. Beyond financial markets, monetary policy changes influence macroeconomic variables, such as economic growth, inflation, and trade patterns, shaping international companies' operating environments and strategic decisions. In conclusion, the interconnectedness of global financial markets accentuates the importance of agility, flexibility, and strategic foresight for multinational corporations in navigating the impact of monetary policy changes on their financial strategies and overall performance.

Earnings News and Over‐the‐Counter Markets

ABSTRACTWe document significant increases in bond market liquidity around earnings announcements. These increases are attributed to decreased search and bargaining costs, which arise from the over‐the‐counter (OTC) nature of bond markets and outweigh increases in information asymmetry during these periods. Our evidence traces reductions in search and bargaining costs to two sources around earnings announcements: (1) improved access to dealers and (2) increased participation from institutional investors, who can more easily transact with multiple dealers. Overall, our findings highlight a novel channel through which firm‐specific information affects asset prices.

Using Social Media to Identify the Effects of Congressional Viewpoints on Asset Prices

Abstract We use a high-frequency identification approach to document that individual politicians affect asset prices. We exploit the regular flow of viewpoints contained in Congress members’ tweets. Supportive (critical) tweets increase (decrease) the stock prices of the targeted firm and the corresponding industry in minutes around the tweet. The bulk of the stock price effects is concentrated in the tweets revealing news about future legislative action. The effects are amplified around committee meeting days, especially when the tweet originates from committee members and influential politicians. Overall, we show that Congress members’ social media accounts are an important source of political news.

UTILIZING DEEP LEARNING TECHNOLOGIES TO FORM PRICING MODELS

The work is devoted to evaluating pricing models for calculating the profitability of individual financial instruments, for example, such as stocks, using a multilayer generative-adversarial artificial neural network (GAN) and developing its own model based on the analysis. A huge amount of specially selected data is supplied to the inputs of the neural network, changing over time (dynamic). To improve the objectivity of the model, this work does not implement the arbitration capabilities of the markets. This is how one can analyze and explain variations and errors in pricing, as well as identify the key factors affecting asset prices. As the outcome, it was found out that the resulting asset pricing model exceeds all standard approaches for its assessment using the Sharpe ratio. It was shown that machine learning is an acceptable tool in term of investment forecasting, on the example of Russian Federation market.

SELECTING A COMPUTER NETWORK SIMULATOR FOR HIGHER EDUCATION

The work is devoted to evaluating pricing models for calculating the profitability of individual financial instruments, for example, such as stocks, using a multilayer generative-adversarial artificial neural network (GAN) and developing its own model based on the analysis. A huge amount of specially selected data is supplied to the inputs of the neural network, changing over time (dynamic). To improve the objectivity of the model, this work does not implement the arbitration capabilities of the markets. This is how one can analyze and explain variations and errors in pricing, as well as identify the key factors affecting asset prices. As the outcome, it was found out that the resulting asset pricing model exceeds all standard approaches for its assessment using the Sharpe ratio. It was shown that machine learning is an acceptable tool in term of investment forecasting, on the example of Russian Federation market.

Attention Spillover in Asset Pricing

ABSTRACTExploiting a screen display feature whereby the order of stock display is determined by the stock's listing code, we lever a novel identification strategy and study how the interaction between overconfidence and limited attention affect asset pricing. We find that stocks displayed next to those with higher returns in the past two weeks are associated with higher returns in the future week, which are reverted in the long run. This is consistent with our conjectures that investors tend to trade more after positive investment experience and are more likely to pay attention to neighboring stocks, both confirmed using trading data.

Arbitrage Strategy Based on DHS Pricing Model

The Daniel-Hirshleifer-Sun (DHS) is a three-factor model based on the investors psychology. It supplements the market factors of the CAPM model with two behavioral factors that capture commonalities in mispricing resulting from psychological biases. The DHS method focuses on two psychological biases affecting asset prices: overconfidence and limited attention. According to Daniel, Hirshleifer, and Sun, overconfidence in the investor tends to induce commonality in long-horizon mispricing.In contrast, the inattention of the investor tends to induce commonality in short-horizon mispricing. In this strategy, assets are priced according to the DHS model, and the unexplained return generated from this model is traded. According to the back-test, the explanation power of the DHS model is limited in Chinses market. As a result, the arbitrage strategy based on this model cannot generate a decent return in the long run. However, this strategy generates a significant positive return in turbulent market conditions. During these periods, investors tend to panic, and their psychology is especially unstable, so the two behavioral factors can explain the return efficiently.

Research on Asset Chain Pricing under Asymmetric Information

This paper investigates the asset pricing problem in the context of asymmetric information, focusing on the asset chain, and derives an expression for equilibrium asset prices. The findings of this study contribute to our understanding of how information asymmetry affects asset prices and can be used to inform investment decisions in markets with asymmetric information. Future research could explore the implications of these results for other types of assets or for different market conditions. Moreover, policymakers and regulators could also use these findings to design better disclosure requirements and improve market transparency, which could ultimately benefit investors and promote market efficiency. It is essential to continue investigating the impact of information asymmetry on asset prices to develop a more comprehensive understanding of financial markets. Using this equilibrium price expression, the author demonstrates that asset chain-based pricing can help mitigate the volatility of the equilibrium price. This finding could have significant implications for investors and policymakers seeking to stabilize asset prices in volatile markets. Further research could also investigate the practical applications of this pricing model in real-world investment scenarios. The study sheds light on the role of asymmetric information in asset pricing and highlights the potential benefits of asset chain-based pricing.

A time-varying of property residential price in Indonesia: a VAR approach

The crisis of 2008 started with asset price bubbles which spread to other sectors, thus driving a recession. Turmoil in the housing sector can directly harm the domestic economy and financial stability. The research aims to analyze macroeconomic variables that can affect asset prices in Indonesia and how the inflation-targeting framework directly affects asset prices. This study contributes to the current research, such as the early warning system for the asset sector that the crisis of 2008 started with asset price bubbles. The Inflation Targeting Framework (ITF) policy used by the Central Bank has shown its effectiveness in the property sector. It can be seen that a negative response is shown from property prices when there are inflationary shocks. The response of interest rates to fluctuations in housing prices is stronger than the response of housing prices to fluctuations in interest rates. It indicates that the interest rate stimulus is more reactive to changes in housing prices as an accommodation of housing price volatility. GDP and money supply will respond negatively to property price fluctuations, which can lead to a crisis because GDP responds negatively. The strengthening of fiscal and monetary policy can soften the volatility of asset prices.

Risk Appetite and the Risk-Taking Channel of Monetary Policy

Monetary policy affects financial markets and the broader economy in part by changing the risk appetite of investors. This article provides new evidence for this so-called risk-taking channel of monetary policy by revisiting and extending event-study analysis of Federal Open Market Committee announcements. We document significant effects of unexpected monetary policy changes on risk indicators drawn from equity, fixed-income, credit, and foreign exchange markets. We develop a new index of risk appetite based on the common component of these indicators. Surprise monetary easing leads to strong and persistent increases in our index, and vice versa for tightening surprises, consistent with the view that monetary policy affects asset prices in large part through its effects on risk appetite. We discuss the implications of the risk-taking channel for monetary policy transmission, optimal monetary policy, and financial stability.

Can corporate social responsibility disclosure alleviate asset price volatility? Evidence from China

Can corporate social responsibility disclosure alleviate asset price volatility? Evidence from China

How Does the Economic Uncertainty Affect Asset Prices Under Normal and Financial Distress Times?

How Does the Economic Uncertainty Affect Asset Prices Under Normal and Financial Distress Times?

Attention: How high-frequency trading improves price efficiency following earnings announcements

Attention: How high-frequency trading improves price efficiency following earnings announcements

Do Mutual Funds’ Exposure to Financial Stress Predict Their Future Returns? Evidence From China

How macroeconomic risk affects asset prices is an important issue in the academic and industrial fields. This paper measures Chinese financial stress (CFSI) by constructing a new index, and empirically verifies the pricing relationship between financial stress and Chinese mutual fund returns. First, we use eight source variables, which are the driving forces of financial market risk and financial stability, from bank, security, and foreign exchange markets, to build a new index representing financial stress. In addition, we estimate mutual funds’ exposure to financial stress and find that the resulting financial stress betas explain a significant proportion of the cross-sectional dispersion in mutual fund returns. Moreover, this result also remains robust when we conduct tests using other macroeconomic indices or control for the Fama–French and Carhart four factors. Hence, we argue that financial stress is a powerful determinant of cross-sectional differences in Chinese mutual fund returns and plays an important role in the sustainable development of financial markets.

Governance role of media coverage: from the view of accounting information value relevance and market value about share pledge firms in China

PurposeShare pledge is a popular way to raise funds in China, but it aggravates information asymmetry. As an indispensable information intermediary in the financial market, media coverage affects asset price and pricing efficiency and impacts information asymmetry. This study aims to explore the governance role of media coverage as an information intermediary in the share pledge context in China.Design/methodology/approachModerating effect and mediating effect analyses are the primary methods used to test the governance role of media coverage. The ordinary least squares model was used to test the relationship between share pledge and market performance and then proved the moderating effect of media coverage toward the corporate market value of pledge firms. Accounting earnings value relevance models were explored to test the path of media coverage on firm market value by mediating effect analysis. At last, subgroup tests were used to verify the heterogeneity of the moderating effect of media coverage.FindingsIn the context of share pledge in China, the higher the share pledge ratio, the higher is the market value of listed firms, which verifies the motivation of controlling shareholders to avoid the transfer of control right and the motivation to tunneling. Media coverage has a significant negative moderating effect on the relationship between share pledge rate and corporate value and has a significant impact on the accounting earnings value relevance of share pledge firms. From the perspective of long-term earnings, media coverage reduces the market performance of share pledge firms by reducing the value correlation of accounting earnings information. From the short-term price point of view, media coverage reduces the market performance of share pledge firms by improving the value correlation of accounting earnings information. Furthermore, media coverage has a more significant moderating effect in state-owned share pledge firms and low information transparency and low information disclosure quality firms.Research limitations/implicationsThis paper does not distinguish the mode difference of spreading news and the impact of non-pledge media coverage. Also, this paper does not consider factors other than accounting information value relevance when exploring how media coverage affects the corporate market value. Share pledge firms should use media for publicity and play a role in media governance and should actively improve their information disclosure quality, strengthen communication with investors and reduce information asymmetry fundamentally.Practical implicationsThis paper diversify the governance choices for share pledge firms and has important implications for firms, investors, information intermediaries and regulators. Media reports play an increasingly important role today, and any reports and predictions of major events may profoundly affect investors’ decisions. Although media reports can make up for the weakness of accounting information disclosure of equity pledge companies in some sense, it is still not a long-term strategy. Equity pledge companies should not only make use of media for publicity and play a role of media governance but also actively improve their information disclosure quality.Originality/valueThis paper focuses on share pledge firms to carry out in-depth research. Based on exploring the influence mechanism of share pledges, the authors find the importance of media governance. This paper expands the literature about the economic consequences of share pledges and provides empirical data for media governance of share pledge firms. This paper innovatively proves the governance role of media coverage from the view of accounting information value relevance. The main innovation point is the long and short-term perspective analysis of the influence of media coverage on the correlation of accounting earnings value. The heterogeneity effect analysis of media coverage also reflects the depth and strong practical guiding significance of this study.