Magical banking capital: Neo-endogenous money (NEM)

2020 ◽  
Vol 1 (1) ◽  
pp. 27-35
Author(s):  
Sovanbrata Talukdar
Keyword(s):  
Stock Market ◽  
Central Bank ◽  
Financial Market ◽  
Positive Relationship ◽  
Excess Return ◽  
Control Individual ◽  
Financial Constraint ◽  
Imperfect Market ◽  
External Finance ◽  
Endogenous Money

This research emerges with internal financial constraint. How financial constraint may lead to economic recess or back. This financial constraint is different than external finance constraint, and is not due to lack of gold, etc. It explains the positive relationship between excess return in stock market (ERSM) and non-real funding or riskier credit. The matter comes under imperfect market banking. It includes subsequently banking behavior and failure of central bank policy to control individual banks under these circumstances. In addition, it presents measures to get awareness before default comes, as financial default rare and crisis in financial market comes much before that.

Stock Market in Georgia

2021 ◽  
Vol 10 (2) ◽  
pp. 26-38
Author(s):  
Davit (David) Aslanishvili
Keyword(s):  
Stock Market ◽  
Central Bank ◽  
Financial Market ◽  
Commercial Banks ◽  
Financial Capital ◽  
Market Capitalization ◽  
Economic Progress ◽  
Financial Investments ◽  
Economic Reality ◽  
Monopoly Position

The study examines the financial and economic reality and backwardness of Georgia. It reflects the monopoly of commercial banks thanks to the steady support of the state and the central bank, which ultimately does not allow for the attraction of alternative financial capital and is one of the main reasons for the country's failure. In this respect, the economic progress is directly linked to this problem. Developing an economy requires large financial investments and resources. Based on the research a number of proposals need to be introduced to change the situation and to build a competitive financial market. The ultimate goal is to end the monopoly position of commercial banks and to neutralize the negative activity of the Central Bank of Georgia as the regulator of this market. This is the only way to create the independent and competitive source of finance and investment in Georgia. Ultimately, this will increase market capitalization and eliminate the backwardness between Georgia and a number of leading countries in the field of financial market and its infrastructure.

Financial Constraints, Stock Returns and R&D in Indian Stock Market

2021 ◽  
pp. 097226292098839
Author(s):  
Pankaj Sinha ◽  
Priya Sawaliya
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Financial Constraints ◽  
Fixed Effect Model ◽  
Quantitative Information ◽  
Common Shocks ◽  
External Finance ◽  
Negative Effect ◽  
Security Returns ◽  
Indian Stock Market

When the accessibility of external finance prohibits a firm from taking the optimum decision related to investment, that firm is called financially constrained. By applying the methodology of Kaplan and Zingales (1997) and Lamont et al. (2001), the current study has created a construct to gauge the level of financial constraints (FC) of the companies which emanate from quantitative information. The study explores whether FC factor is present in the Indian stock market and explores whether the security returns of those firms that are financially constrained move in tandem. The study also attempts to establish the association between security returns and R&D of financially constrained firms. On a sample of 63 R&D reporting companies of S&P BSE 500, traded over the period March 2008 to February 2019, the study used the Fama–French methodology, fixed effect model and the ordered logistic regression. The study finds that firms that are highly constrained earn more returns than low constrained firms. Second, the security returns of firms that are financially constrained move in tandem because these firms are affected by common shocks. This suggests that the FC factor exists in the Indian stock market. Finally, when R&D interacts with the level of FC, then this interaction effect has a negative effect on returns.

scholarly journals Sugar Prices vs. Financial Market Uncertainty in the Time of Crisis: Does COVID-19 Induce Structural Changes in the Relationship?

Agriculture ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 93
Author(s):  
Pavel Kotyza ◽  
Katarzyna Czech ◽  
Michał Wielechowski ◽  
Luboš Smutka ◽  
Petr Procházka
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Financial Market ◽  
Structural Breaks ◽  
Structural Changes ◽  
Global Financial Crisis ◽  
Market Uncertainty ◽  
Volatility Index ◽  
The Global Financial Crisis ◽  
The Relationship

Securitization of the agricultural commodity market has accelerated since the beginning of the 21st century, particularly in the times of financial market uncertainty and crisis. Sugar belongs to the group of important agricultural commodities. The global financial crisis and the COVID-19 pandemic has caused a substantial increase in the stock market volatility. Moreover, the novel coronavirus hit both the sugar market’s supply and demand side, resulting in sugar stock changes. The paper aims to assess potential structural changes in the relationship between sugar prices and the financial market uncertainty in a crisis time. In more detail, using sequential Bai–Perron tests for structural breaks, we check whether the global financial crisis and the COVID-19 pandemic have induced structural breaks in that relationship. Sugar prices are represented by the S&P GSCI Sugar Index, while the S&P 500 option-implied volatility index (VIX) is used to show stock market uncertainty. To investigate the changes in the relationship between sugar prices and stock market uncertainty, a regression model with a sequential Bai–Perron test for structural breaks is applied for the daily data from 2000–2020. We reveal the existence of two structural breaks in the analysed relationship. The first breakpoint was linked to the global financial crisis outbreak, and the second occurred in December 2011. Surprisingly, the COVID-19 pandemic has not induced the statistically significant structural change. Based on the regression model with Bai–Perron structural changes, we show that from 2000 until the beginning of the global financial crisis, the relationship between the sugar prices and the financial market uncertainty was insignificant. The global financial crisis led to a structural change in the relationship. Since August 2008, we observe a significant and negative relationship between the S&P GSCI Sugar Index and the S&P 500 option-implied volatility index (VIX). Sensitivity analysis conducted for the different financial market uncertainty measures, i.e., the S&P 500 Realized Volatility Index confirms our findings.

Central Bank Response to the 2007-08 Financial Market Turbulence: Experiences and Lessons Drawn

2008 ◽  
Author(s):  
Simon Gray ◽  
Ulrich H. Klueh ◽  
Seiichi Shimizu ◽  
Peter Stella ◽  
Alexandre Bruno Chailloux
Keyword(s):  
Central Bank ◽  
Financial Market ◽  
Market Turbulence

scholarly journals Financial market anomalies: evidence from Tunisia stock market

2017 ◽  
Vol 7 (9) ◽  
pp. 238-250 ◽  
Author(s):  
Bouteska Ahmed ◽  
Regaieg Boutheina
Keyword(s):  
Stock Market ◽  
Financial Market ◽  
Market Anomalies

scholarly journals Unconventional monetary policy of the European Central Bank: A brief recapitulation

2019 ◽  
Vol 53 (3) ◽  
pp. 43
Author(s):  
Ilona Skibińska-Fabrowska
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Central Bank ◽  
Economic Crisis ◽  
Financial Market ◽  
European Central Bank ◽  
Central Banks ◽  
Unconventional Monetary Policy ◽  
European Central ◽  
National Bank

<p>The financial and economic crisis that has hit many economies in recent years has significantly increased the activity of central banks. After using the standard instruments of conducting monetary policy, in view of the obstruction of monetary impulse transmission channels, they reached for non-standard instruments. Among them, asset purchase programs played a signifciant role. The European Central Bank (ECB) launched the largest asset purchase programme (APP) of this type in 2014 and expired in December 2018. The aim of the undertaken activities was to improve the situation on the financial market and stimulate economic growth. The article reviews the literature and results of research on the effects of the program and indicates the possibility of using the ECB’s experience in conducting monetary policy by the National Bank of Poland.</p>

scholarly journals Transactions Volume, Exchange Direction and Asymmetry of Volatility in Emerging Market: Evidence From Tunisian Stock Exchange

2020 ◽  
Vol 11 (6) ◽  
pp. 318
Author(s):  
Jaber Yasmina
Keyword(s):  
Stock Market ◽  
Financial Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
Explanatory Power ◽  
Trading Activity ◽  
Auto Correlation ◽  
The Asymmetry ◽  
The Impact ◽  
The Relationship

This study is an attempt to explain the relationship between intraday return and volume in Tunisian Stock Market. Indeed, former researches avow that the trading activity have the main explanatory power for volatility. However, most theories measure the activity of transactions through the size of exchange or the number of transactions. Nevertheless, these components are not aware enough of the importance of the direction of exchange when explaining the phenomenon of asymmetry of volatility. In the most of studies, the technique “Augmented Tick Test” (ATT) is employed so as to identify the direction of exchange. Such technique is adapted for the markets directed by orders like the Tunisian financial market. Again, this paper shows that the impact of the direction of exchange differs according to the market trend. In other words, if the returns are positive, the transactions of sale (of purchase) generate a decrease (increase) of volatility; whereas, they induce an increase (drop) of volatility if returns are negative. This result stresses the significance of exchange direction in explaning the asymmetry of volatility. Moreover, throughout this study, one may affirm that “Herding trades” are at the origin of the increase of volatility, while the “Contrarian trades” reduce volatility. Similarly, the identification of the direction of exchange enables us to affirm that the transactions of the initiates are characterized by the absence of returns auto- correlation; whereas, the transactions carried out by uninformed investors present an auto- correlation of the returns. In fact, the sign of this correlation varies according to transaction direction.

Sign in / Sign up

Export Citation Format

Share Document