There is no smoke without a fire: The effect of government interventions in less advanced economies

The lack of liquidity in the interbank market during the crisis of 2007–2011 led governments to impose different policies to rescue their countries’ banking sectors. While in advanced countries interventions in the banking sector were mostly related to a lack of liquidity and significant asymmetric information regarding counterparty risk, in many less advanced countries they had a precautionary motive. In our article, we investigate the effectiveness of policy interventions on healthy banking markets, with possible negative spill-over effects from other countries. To this extent, we use an event study methodology to test the effect of liquidity and financial sector policy announcements on interbank spread changes in six Central and Eastern European (CEE) countries over the period between 2007 and 2011. We find that standard liquidity interventions did not provide effective stabilization. In fact, our evidence suggests that the spread widened after their announcement, probably as a result of the negative signal and consequently increased risk aversion of banks. In such situations, regulators should consider policy instruments that aim to decrease uncertainty in the market.     

Determining factors and impacts of the intention to adopt mobile banking app in Cameroon: Case of SARA by afriland First Bank

This study aims to know what are the factors determining the adoption of M-Banking app among customers in Cameroon. In other words, what are the factors that influence users in their decisions to adopt and use a system or technology such as the MBanking app, and indirectly, what is the impact of this use on both the customers and financial inclusion? The research model developed relying on a combination of Technology Acceptance Model (TAM ), Unified Theory of Acceptance and Use of Technology ( UTAUT2 ), Information System Success Model ( ISSM ), and Protection Motivation Theory ( PMT ) and other constructs; it was then tested with a sample of 223 users of the “ SARA” M-Banking app of the financial institution called “ Afriland First Bank” . Findings revealed that: (1) utilitarian expectation, hedonic motivation, and status gain, habit, and perceived privacy concern have a significant influence on the intention to adopt M-Banking apps; and (2) the exploitative/explorative use of this technology has an impact on user’s loyalty and satisfaction but also contributes strongly to fostering financial inclusion in Cameroon. Also, the Multi-group analysis was performed on the sample using 2 gender-based groups (males, n=121; females, n=102).     

Bank capital and lending: Evidence of nonlinearity from Indonesia

This paper studies the transmission of bank capital shocks to loan supply in Indonesia. Using bank data for the period 2001:Q1 to 2018:Q4, we estimate dynamic panel data models of bank lending. We find nonlinear effects of capital on loan growth. Specifically, the response of weakly capitalized banks to changes in their capital positions is larger than that of strongly capitalized banks. This non-linearity implies that not only the level of capital but also its distribution across banks in the system affects the transmission of shocks to aggregate lending. Likewise, the effects of bank recapitalization on loan growth depend on banks’ starting capital positions and the size and distribution of capital injections.     

Drivers of research impact: evidence from the top three finance journals

We study the characteristics of all published papers in the top three finance journals (JF, JFE and RFS), and how these paper characteristics affect the number of citations in Google Scholar and the Web of Science database. First, we find the characteristics in the universalist perspective remain constant while the characteristics in the constructivist and presentation perspectives increase over time. Second, some characteristics are significantly different between the high-impact and the low-impact papers. Third, paper quality, research method, journal placement and paper age are the most important drivers. Last, different drivers play different roles in different journals.     

Price connectedness between green bond and financial markets

We study price connectedness between the green bond and financial markets using a structural vector autoregressive (VAR) model that captures direct and indirect transmission of financial shocks across markets. Using heteroskedasticity to identify the structural VAR model parameters, our empirical findings reveal that the green bond market is closely linked to the fixed-income and currency markets, receiving sizeable price spillovers from those markets and transmitting negligible reverse effects. We also show that, in contrast, the green bond market is weakly tied to the stock, energy and high-yield corporate bond markets. These findings have implications in terms of portfolio and risk management decisions for environmentally aware investors holding positions in green bonds.     

Real estate prices and systemic banking crises

The collapse of real estate prices has historically jeopardized banking stability and triggered systemic banking crises. This paper studies risk contagion in a banking system in real estate price shock by adopting complex network theory. Modelling the real estate-related asset as a common exposure of banks to the real estate market, we propose a model that incorporates two main risk contagion channels, i.e., the financial network and asset fire sales, and reveal how the real estate price shock is transmitted and propagated across banks. We demonstrate that banking stability is highly sensitive to the real estate price shock. Moreover, due to the particularly low liquidity of the real estate market, the asset fire-sales of real estate assets overwhelms the financial network, playing the dominant role in risk contagion. Our model can be adopted by regulators to conduct stress testing and to forge effective risk management strategies.     

Great Recession and Macroeconomic Theory: A Useless Crisis?

ABSTRACT

The global financial crisis of 2007–08 and the subsequent Great Recession have pushed many economists to acknowledge a fundamental limit in the theoretical models elaborated after the monetarist counter-revolution: these models disregard the financial system. The years following the Great Recession have thus been marked by the development of what can be called the ‘Financial Frictions Approach’, a theoretical approach based on the addition of the financial system to the New Keynesian DSGE model. The results of this line of research are beginning to appear also in macroeconomics textbooks. Significant examples are the publication of the seventh edition of Blanchard’s textbook, and the publication of the third edition of the textbook co-authored by Blanchard, Amighini and Giavazzi. The objective of this work is twofold: (i) to show that the new model presented by Blanchard, Amighini and Giavazzi, which reflects the results of the ‘Financial Frictions Approach’, does not allow to elaborate a coherent explanation of the Great Recession and (ii) to present the pillars of an alternative theoretical model based on the lessons of Keynes, Schumpeter and Minsky.     

DSGE forecasts of the lost recovery

The years following the Great Recession were challenging for forecasters. Unlike other deep downturns, this recession was not followed by a swift recovery, but instead generated a sizable and persistent output gap that was not accompanied by deflation as a traditional Phillips curve relationship would have predicted. Moreover, the zero lower bound and unconventional monetary policy generated an unprecedented policy environment. We document the actual real-time forecasting performance of the New York Fed dynamic stochastic general equilibrium (DSGE) model during this period and explain the results using the pseudo real-time forecasting performance results from a battery of DSGE models. We find the New York Fed DSGE model’s forecasting accuracy to be comparable to that of private forecasters, and notably better for output growth than the median forecasts from the FOMC’s Summary of Economic Projections. The model’s financial frictions were key in obtaining these results, as they implied a slow recovery following the financial crisis.     

Which financial stocks did short sellers target in the subprime crisis?

Tracing the SEC ban on the short selling of financial stocks in September 2008, this paper investigates whether such selling activity before the 2008 short ban reflected financial companies’ risk exposure in the subprime crisis. Evidence suggests that short sellers sold short stocks that had the greatest asset and insolvency risk exposures, and that the short selling of financial firms’ stocks was not significantly greater than that of non-financial firms after we match them on firm size and insolvency risk. When the short ban was in effect, the market quality of financial stocks without subprime assets exposure had deteriorated to a larger degree than that of financial companies with subprime assets exposure. The findings imply that such a regulation may mute the market disciplining effects of investors and may also be seen as a counterweight to any perceived macro or systemic risk reduction benefits resulting from such a ban.     

Financial liberalization: Poverty trap or chaos

We construct an overlapping generations model in which people are subject to limited pledgeability and uncertainty over entrepreneurial projects. We show that whether financial liberalization generates a poverty trap, an endogenous fluctuation, or both depends on the interaction of pledgeability and uncertainty. Endogenous fluctuation requires a high level of both pledgeability and uncertainty. Poverty trap requires a low level of both. For an intermediate level of both, the initially poor are trapped in poverty while the initially rich fluctuate endogenously.