Search results

The purpose of this paper is to empirically investigate the possibility of financial crowding out in the long-term debt market in India taking the corporate bond market as a proxy.

The study follows a two-pronged approach. First, it tests the corporate bond market sensitivity to interest rate, along with other determinants like commercial bank credit and government securities size using the autoregressive distributed lag approach. These are considered instrumental in the development of a long-term debt market. Second, it tests if the interest rate changes are fiscal deficit (FD) induced using Granger causality framework.

It finds evidence of both the interest rate sensitivity of the corporate bond market and the interest rates to be FD induced, thereby empirically validating the possibility of financial crowding out in the Indian debt market segment.

Based on the results, it seems that any deviation from the path of fiscal prudence can prove dear in the development of the corporate bond market. Also, the banking sector is overexposed to the risks it is not geared to handle, given by the serious asset-liability mismatches and contraction it leads in the market debt, like the corporate bond market. The government securities market could be further developed, which would provide a cue to corporate segment further and also a benchmark yield curve.

The study adds to the very limited literature on the corporate bond market in India, especially in the empirical domain and possibly is the first attempt to empirically explore the aspect of financial crowding out with reference to corporate bond market.

The study analyzes the relationship between homeownership and financial investment of households in the context of emerging markets like India. It also examines how homeownership affects the portfolio decisions of Indian households.

Using the nationally representative All-India Debt and Investment Survey of 2019 and employing an instrumental variable approach, the authors analyze the relationship between homeownership and the share of financial assets held by Indian households. The study also employs several sensitivity checks, including alternate estimation techniques and alternative definitions of the housing variables, and accounts for additional factors to ensure that the authors are able to capture the effect of homeownership on the outcome variable.

The analysis suggests homeownership crowds out financial investment in India due to high repair and maintenance costs. The negative effect is mainly observed in urban households. Further, the findings imply that homeownership leads households to reallocate their asset portfolio. Homeowners have a lower share in liquid short term deposits, indicating the high liquidity risk of their portfolios. On the other hand, homeownership increases the share of long term retirement funds along with no effect on risky asset share. The authors observe that the crowding out effect is more striking for younger households and poorer households with low income, and the effect is lower for indebted households.

The findings underscore the need for financial awareness programs so that housing does not crowd out liquid investments of households. Additionally, the results highlight that policies should first focus on young and poor households as the negative effect is more prominent for these groups. Finally, there is scope for policies to support repair and maintenance costs incurred by vulnerable households to reduce the negative effect of housing on liquid financial investments.

This paper is among the few studies that provide insights into how homeownership relates to financial investment and portfolio decisions in the context of an emerging economy. Furthermore, the heterogeneous effects based on poor economic status and age underscore the need for complementary policies.

The purpose of the study is to investigate the correlation between credit supply to government and credit supply to the private sector to determine whether there is a crowding-out or crowding-in effect of credit supply to government on credit supply to the private sector.

The study used data from 43 countries during the 1980–2019 period. The study employed the Pearson correlation methodology to analyze the data.

There is a significant positive correlation between credit supply to government and credit supply to the private sector. There is also a significant positive relationship between credit supply to government and credit supply to the private sector, implying a crowding-in effect of government borrowing on private sector borrowing. The positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the period before the Great Recession, while the positive correlation is weaker and less significant during the Great Recession, and the correlation further weakens after the Great Recession. The regional analyses show that the positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the African region than in the Asian region and the region of the Americas.

There is no evidence on the correlation between credit supply to government and credit supply to the private sector during the Great Recession.

This study analyzes the impact of changes in bank capital on liquidity creation. More specifically, it tests “financial fragility – crowding out” and “risk absorption” hypotheses for Indian banks.

It uses the data of 136 listed and unlisted banks, ranging from the year 2000 to 2014. The analysis is based on panel data techniques.

There is negative relationship between narrow measure of bank liquidity creation and capital. Therefore, in the case of India, “financial fragility – crowding out” hypothesis holds for “cat nonfat” measure of liquidity creation. However, there is no relationship between “cat fat” measure of liquidity creation and capital, except for listed banks, and the banks in the pre-crisis period. In these two cases, “risk absorption” hypothesis holds. Furthermore, none of the hypotheses holds in the post-crisis period.

The higher capital requirements posed by the Basel III will result in lower on-balance-sheet liquidity creation, which may result in lower profitability for the banks. However, increase in capital does not affect off-balance-sheet liquidity creation, rather enhances it in case of listed banks. So, the managers may use risky off-balance-sheet liquidity creation to improve profitability. Therefore, the regulators must be vigilant to the off-balance-sheet activities of banks to avoid banking turmoil.

To the best of authors’ knowledge, this is the first study to explore which hypothesis regarding the relationship between bank capital and liquidity creation holds for Indian banks. It contributes to the existing literature by providing the empirical evidence that “financial fragility – crowding out” hypothesis holds for on-balance-sheet liquidity creation and “risk absorption” hypothesis holds for listed banks. It also points to the new direction that neither of the hypotheses holds in the post-crisis period in India.

After its adhesion to the EU in 1986 Portuguese agriculture benefitted from a continuous flow of European funds aimed at the modernization of the sector in order that it might face the shock of competition with more developed agricultures.

However, enough evidence exists to show that the crowding out of Portuguese capitals was counterproductive to the political objectives. In fact, despite the EU transfers, in only two of the years from 1980 to 2009 did agricultural investment attain identical levels to those prior to integration.

If one considers investment as being the best indicator to explain the poor results of Portuguese agriculture over the last three decades, my argument is that this evolution needs a retrospective analysis focusing on the concept of financialization of the economy induced by EU and national policies. Therefore, this chapter is an explanatory attempt to open a broad discussion on the role of financialization in agriculture and rural development issues.

Most football clubs were founded by members of the local community within which they are based. The success of a club is built on the time, effort and resources given by these locals, which is offered due to the benefits that football promises to the community in return. However, the game has increasingly been dominated by a focus on financial (monetary) value, at the expense of such benefits being delivered to the clubs' local communities. This article examines a need for deliberation over what accountability is owed by football clubs to their local communities in the context of questioning what and for whom football is for.

This exploration is undertaken within the context of the English game, where a series of issues has resulted in the UK Government undertaking a “fan led review of football governance”. The report produced by this review is analysed to understand whether the contents and recommendations enters the debate over what accountability is owed to local communities.

While the UK Government's fan led review recognises the pivotal role of local communities in the formation of the English game, its focus and resulting recommendations are mostly on the financial sustainability of the clubs. The analysis demonstrates that, due to their focus on financial value, the implementation of the report's recommendations is more likely to exacerbate the underlying issues rather than resolving them.

The call for deliberation over whether and what accountability is owed to local communities has been repeated over time. The UK Government's fan led review provided an important opportunity to engage in that deliberation. However, the dominance of financial value within football has all but silenced any call for and action regarding this.

The purpose of this paper is twofold: first, this paper measures how much liquidity is transformed by the US life insurance industry for the sample period; and Second, this study tests the “risk absorption” hypothesis and “financial fragility-crowding out” hypothesis to identify the impact of capital on liquidity creation in the US life insurance industry. In addition, a regression model is conducted to explore the relationship between liquidity creation and other firm characteristics.

In order to construct the liquidity creation measures, all assets and liabilities are classified as liquid, semi-liquid, or illiquid with appropriate weights to these classifications, which will then be combined to measure the amount of liquidity creation. In addition, a regression model is analyzed. The level of insurers’ liquidity creation is regressed on the capital ratio (surplus over total assets) and other financial and organizational variables to test two prevailing hypotheses.

This paper finds that the US life insurers de-create liquidity. The authors provide that the amount of liquidity de-creation is related to the size of insurers such that liquidity de-creation has increased as assets grow and that large insurers de-create most of liquidity. The US life insurance industry de-created $2.1 trillion in liquidity, i.e., 43 percent of total industry assets, in 2008. The empirical results support the “financial fragility-crowding out” hypothesis. Life insurers’ liquidity de-creation is mainly caused by the large portion of liquid assets, which is required by regulation and capital is not a main factor of liquidity de-creation.

There is no known study on the issue of liquidity creation by life insurers. Thus, the extent of liquidity creation by the life insurance industry, if any, is an empirical matter to investigate, but also an important matter to regulators and the academia since the products and business operations (e.g. asset portfolio and asset and liability management) of life insurers are different from those of property and liability insurers.

The purpose of this paper is to examine the effect of bank capital on liquidity creation. Especially, the authors test two competing hypotheses: the “risk absorption” hypothesis and the “financial fragility-crowding out” hypothesis that describe such association in the context of UK and French banking industry.

The authors use data collected from Bankscope for commercial banks pertaining to the aforementioned countries. The sample period ranges from 2000 to 2014. Liquidity creation was measured using a novel approach proposed by Berger and Bouwman (2007). This study uses the quantile regression (QR) and the instrumental variables QR, along with classical ordinary least squares (OLS) and panel regression, to deal with the mixed results reported by previous papers.

Using OLS and panel regression, the authors first find that bank capital negatively affects liquidity creation which supports risk absorption hypothesis. Second, the result from QR confirms the negative association between the aforementioned variables and shows that the effect is homogenous across quantiles of liquidity creation distribution. The result remains unchanged when using the QR with instrumental variables to address the potential problem of endogeneity.

This paper sheds more lights on the relationship between bank capital and liquidity creation by using a novel estimation approach based on the QR methodology.

The purpose of this paper is to explore the relationship between bank regulatory capital and liquidity creation in banks of BIRCS countries.

Data from all publicly listed banks of BRICS nations for the period 2003-2014 have been collected and analyzed. Two-stage least-squares regression has been used to control endogeneity. The econometric model includes different control variables that have been selected based on the extant literature.

Increase in bank capital negatively affects bank liquidity creation which implies that “financial fragility-crowding out” hypothesis holds for banks of BRICS countries.

This study provides the evidence of the inverse relationship between bank regulatory capital and liquidity creation from emerging economies. The findings show that there is a trade-off between curtailing bank risk taking and liquidity creation. Therefore, the regulators must formulate policies to strike a balance between the two.

The study seeks to evaluate the effect of capital adequacy and competition on the liquidity creation of Kenyan commercial banks.

Unbalanced panel data from 36 Kenyan commercial banks with licenses from 2001 to 2020 is used in the study. The generalized method of moments (GMM), a two-step system, is employed in the investigation. To increase the robustness and prevent erroneous findings, serial correlation tests and instrumental validity analyses are used. The methodology developed by Berger and Bouwman (2009) is used to estimate the commercial banks' levels of liquidity creation.

The study supports the financial fragility-crowding out hypothesis by finding a significant negative effect of capital adequacy on the liquidity creation of commercial banks. The research also identifies a significant inverse relationship between competition and liquidity creation, depicting competition's value-destroying effect.

A trade-off exists between capital adequacy and liquidity creation, which must be carefully evaluated as changes in capital requirements are considered. The value-destroying effect of competition on liquidity creation presents a case for policy geared toward consolidating banks' operations through possible mergers and acquisitions.

To the best of the authors' knowledge, this is the first study to empirically offer evidence concurrently on the effect of competition and capital adequacy on the liquidity creation of commercial banks in a developing economy such as Kenya. Additionally, the authors employ a novel measure of competition at the firm level.