Should banks diversify or focus? Know thyself: The role of abilities

The paper investigates whether diversification/focus across assets, industries and borrowers affects bank performance when banks’ abilities (screening and monitoring) are considered. The initial results show that diversification (focus) at the asset, industry and borrower levels is expected to decrease (increase) returns. However, once banks’ screening and monitoring abilities are controlled for, the effect of diversification/focus either gets weaker or disappears. Further, in some cases, these abilities enhance banks’ long-run performance, but in others they prove to be costly, at least, in the short run. Thus, the level of monitoring and screening abilities should be taken into consideration in understanding, planning and implementing diversification/focus strategies.     

Does bank capitalization matter for bank stock returns?

We examine US bank capitalization and its association with bank stock returns, and find that the book- and market-based capital ratios show different patterns. Fama-MacBeth regressions and portfolio analyses suggest that banks’ market-based capital ratios are negatively associated with banks’ stock returns during the (tranquil) 1994–2007 period while book-based capital ratios are positively associated with banks’ stock returns during the (turbulent) 2008–2014 period. These results suggest that the effect of bank capitalization on bank stock returns depends on the capital measure used and the period considered.     

State-controlled banks and income smoothing. Do politics matter?

This paper uses a new dataset to reassess the relationship between government ownership and income smoothing of commercial banks. We also evaluate how political connections affect the impact of government ownership on earnings management. We find that banks with more state-controlled shareholders located in developing countries tend to have more incentives to smooth income. The paper finds no significant difference in earnings manipulation between government-controlled and non-government banks in developed countries. Next, to investigate whether the income smoothing behavior of state-controlled banks is driven by political objectives, the paper tests whether this behavior widens during national election years; the results provide strong support for this conjecture. The magnitude of the income smoothing behavior also varies with different countries and electoral characteristics. These findings suggest that the political channel plays an important role in determining the income smoothing incentives of state-controlled banks, especially in developing countries.     

Do Pan-African banks have the best of both worlds?

There has been a large expansion of foreign banks in Africa over the last two decades, with Pan-African banks playing a key role in this phenomenon. This paper questions if this development is beneficial for bank efficiency in African countries by investigating if Pan-African banks are more efficient than other types of foreign and domestic banks. We analyse the relation between ownership type and bank efficiency on a large sample of African banks covering 39 African countries over the period 2002–2015. We find that Pan-African banks are the most efficient banks in the African banking industries. We explain this finding with the fact that these banks combine the best of both worlds: they have the global advantages of foreign banks and the home field advantages of domestic banks. They are therefore able to be more efficient than both foreign banks from developed countries and domestic banks. This suggests that favouring the entry of Pan-African banks would be beneficial to bank efficiency in Africa.     

How does HFT activity impact market volatility and the bid-ask spread after an exogenous shock? An empirical analysis on S&P 500 ETF

In this paper, we empirically analyse infra-second datasets of the SPDR S&P 500 ETF (specifically, the ETF of the S&P 500 exchanged on BATS, named SPY.Z) in order to explain how high-frequency trading (HFT) activities (aggressive and passive) impact market volatility and the bid-ask spread before and after an exogenous shock (i.e., the 2016 US presidential election). Using SPDR S&P 500 ETF datasets as a proxy for the market on regular volume trading days (November 3, 2016) and on high-volume trading days (November 9, 2016), we show that HFT, on average, has a disturbing action mainly on regular volume trading days, whereas on high-volume trading days, it appears to have a stabilizing effect by balancing both the volatility and bid-ask spread. That is, HFT as a whole has a more neutral impact on the market’s volatility and bid-ask spread than the single aggressive and passive components. In fact, aggressive HFT has a consistent negative effect that increases, on average, both the volatility and bid-ask spread, whereas passive HFT displays a positive effect that decreases, on average, the volatility and bid-ask spread.     

Foreign banks and short-term macroeconomic fluctuations: Do financial development and regions matter?

In this paper, we investigate the association between bank integration, measured with the share of foreign banks in the banking industry, and macroeconomic volatility in emerging economies. We find a negative and significant relationship between bank integration and short-run fluctuations in output, consumption and investment, controlling for financial development, bank concentration and the real effective exchange rate. However, this relationship is found to be positive at high levels of financial development. We also explore the association at the regional level and show that the presence of foreign banks in Latin America is negatively and significantly correlated with macroeconomic volatility both in normal times and times of crisis. Despite widespread concerns in emerging Europe, which experienced greater financial vulnerability during the global financial crisis, we find no significant association between growth volatilities and bank integration.     

COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?

The purpose of this study is to determine whether Indian banks were able to weather the COVID-19 storm. We estimate banks’ deposits-generating and operating efficiencies using a two-stage directional distance function-based network data envelopment analysis (DDF-NDEA) approach and seek to capture the immediate impact of COVID-19 on these efficiency measures by comparing their magnitudes in the pre-pandemic (2014/15–2019/20), just 1-year prior to the pandemic (2019/20), and during the pandemic year (2020/21) periods. The study looks at whether the impact of the COVID-19 pandemic was uniform across ownership types and size classes. The empirical findings suggest that the Indian banking system was resilient and withstood the immediate impact of the COVID-19 pandemic. During the study period, however, the large and medium-sized banks experienced some efficiency losses. By and large, regardless of bank group, banks have shown resilience to the shock of the global health pandemic and improvements in efficiency.