Discovering bank risk factors from financial statements based on a new semi‐supervised text mining algorithm

This paper aims to comprehensively uncover bank risk factors from qualitative textual risk disclosures reported in financial statements, which contain a huge amount of information on bank risks. We propose a new semi‐supervised text mining approach named naive collision algorithm to analyse the textual risk disclosures, which can more accurately identify bank risk factors compared with the typical unsupervised text mining approach. We identified 21 bank risk factors in total, which is far more than identified in previous studies. We further analyse the importance of each bank risk factor and how the importance of each risk factor changes over time.     

Did the value premium survive the subprime credit crisis?

We provide evidence that value stocks significantly underperformed growth stocks during the subprime credit crisis, despite a positive value premium before the crisis. The reversal in the value premium concentrates in financially constrained firms, suggesting it was due to the adverse influence of the crisis rather than confounding effects. These findings are robust to alternative financial constraint proxies and asset pricing models. The observation that value stocks are vulnerable to losses during extreme downturns like the crisis is consistent with them being riskier than growth stocks. Our findings have implications for the academic debate on the underlying cause of the value premium and for investors on the profitability of value investing strategies.     

Interest rates,inflation, and the Fisher effect in China

The paper estimates the relationship between the nominal Treasuries rate and inflation in China. The dynamic econometric analysis yields a preferred, automatically reduced, empirical model revealing a Fisher effect. But the results are sensitive to using different sub-samples encompassed in the decade-and-a-half period following the disassociation of Treasuries from the People’s Bank of China administered interest rates at the end of the 1990s.     

Floating a “lifeboat”: The Banque de France and the crisis of 1889

When faced with a run on a “systemically important” but insolvent bank in 1889, the Banque de France pre-emptively organized a lifeboat to ensure that depositors were protected and an orderly liquidation could proceed. To protect the Banque from losses on its lifeboat loan, a guarantee syndicate was formed penalizing those who had participated in the copper speculation that had caused the crisis bringing the bank down. Creation of the syndicate and other actions were consistent with mitigating the moral hazard from such an intervention. This episode contrasts the advice given by Bagehot to the Bank of England to counter a panic by lending freely at a high rate on good collateral, allowing insolvent institutions to fail.     

Discussions on the spurious hyperbolic memory in the conditional variance and a new model

This paper studies the spurious hyperbolic memory in the conditional variance caused by the Markov Regime-Switching GARCH (MRS-GARCH) process. We firstly propose an illustrative cause of this spuriousness and provide simulation evidence. An MRS Hyperbolic GARCH (MRS-HGARCH) model is then developed to successfully address it. Related statistical properties including the stationarity conditions and asymptotic behaviours of the maximum likelihood estimators of the MRS-HGARCH process are also investigated. An empirical study of the S&P 500 and TOPIX indexes returns is then conducted which demonstrates that our MRS-HGARCH model can provide a more reliable estimator of the hyperbolic-memory parameter and outperform both the HGARCH and MRS-GARCH models.     

Financial development,financial liberalization and social capital

The relationship between financial liberalization policies and financial development is controversial. The impact of these policies differs greatly across countries. In the literature, the quality of formal institutions has been identified as an important source of this heterogeneity, as countries with a weak institutional environment generally fail to benefit from financial liberalization. Using panel data covering 82 countries for the period 1973–2008, we find evidence that social capital may substitute for formal institutions as a prerequisite for effective financial liberalization policies. In particular, we find that during the post Washington-consensus period countries with a high prevailing level of social capital can ensure that financial liberalization positively influences financial development, despite the poor quality of their formal institutions.     

Hedging house price risk with futures contracts after the bubble burst

This paper extends the existing literature on managing house price risk. While previous work finds that a hedger would have reduced a large amount of variance in housing returns in Las Vegas, Nevada using Chicago Mercantile Exchange (CME) futures contracts, we show that neither static nor dynamic strategies would have maintained an effective hedge during the significant decline in housing prices. The inability to hedge house price risk using CME futures contracts ultimately calls into question the long-term viability of housing futures.     

How does corporate social responsibility affect financial performance,financial stability,and financial inclusion in the banking sector? Evidence from Pakistan

This paper examines the impact of corporate social responsibility (CSR) on the financial performance, financial inclusion, and financial stability of the banking sector, focusing on annual data for 20 Pakistani commercial banks for the period 2008–2017. The results suggest that CSR, as well as age and size, has a positive impact on all three factors. However, high levels of leverage reduce financial inclusion and financial stability, while financial inclusion is also negatively associated with the tangibility of assets.     

Operational efficiency analysis of Beijing multi-airport terminal airspace

Multi-airport systems are growing in number and size globally, despite being afflicted by known inefficiencies due to the interferences between the flows of neighbouring airports. A macroscopic empirical approach is proposed in this paper to estimate the capacity penalties and demonstrated by a numerical case study for Beijing, which is projected to become one of the busiest metroplexes in Asia. The Pareto envelopes of the theoretical and observed peak hour capacities are statistically analysed to quantify the penalties in a comparable metroplex and are subsequently modulated by a sigmoid correlation function. The analysis predicts the practical capacity of Daxing, the penalty incurred by the pre-existing Capital airport and by the total multi-airport system. Various findings are drawn and discussed, highlighting the needs for further research.