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This chapter provides a discussion on some issues in blockchain finance that regulators are concerned about – an area which bitcoin promoters have remained silent about. Blockchain technology in finance has several benefits for financial intermediation in the financial system; notwithstanding, several issues persist which if addressed can make the adoption of blockchain technology in finance easier and accepted by regulators. The blockchain issues discussed in this chapter are relevant for recent debates in blockchain finance.

Risk-sharing is a crucial issue in order to evaluate the performance of a monetary union. By implementing conventional econometric techniques, this paper intends to estimate the degree of risk-sharing through the cross-ownership of assets within 11 European countries in the period 1971–2014. We show that risk-sharing has been increasing after the launch of the euro due to increased cross-ownership of assets. Nevertheless, we also show that despite the extreme needs for adjustment mechanisms as a reaction to asymmetric shocks in the EMU during the crises, the estimated market risk-sharing mechanism seems to have remained marginal in this period. We also show that the degree of asymmetry (potential benefits from risk-sharing) has declined with the start of the EMU, but it has sharply increased during the crises period. This implies that EMU countries have needed good functioning risk-sharing mechanisms during the crisis, while in this period their estimated performance does not seem to have improved. We interpret these results as the evidence of a missing element of the EMU that forced governments to intervene by means of fiscal policy to tackle the imbalances deriving from the financial crisis. Therefore, we conclude that the weakness in the risk-sharing has been one of the channels that allowed the global financial crisis to mutate in a sovereign debt crisis in the EMU.

Purpose: The present study aims to test the Quadratic Programming model for Optimal Portfolio selection empirically.

Need for the Study: All the investors who buy financial products are motivated to obtain higher profits or, in other words, to maximise their returns. However, the high returns are often accompanied by higher risks, and avoiding such risks has become the primary concern for all investors. There is a great need for such a model to maximise profits and minimise risk, which can help design an investment portfolio with minimum risk and maximum return. The Quadratic Programming model is one such model which can be applied for selected shares to build an optimised portfolio.

Methodology: This study optimises the stock samples using a two-level screening of correlation coefficient and coefficient of variation. The monthly closing prices of the NSE-listed Indian pharmaceutical stocks from December 2019 to January 2022 have been used as sample data. The Lagrange Multiplier method is used to apply the model to achieve the optimal portfolio solution. Based on the market reality, the transaction costs have also been considered. The Quadratic programming model is further optimised to achieve the optimal portfolio for the select stocks.

Findings: The traditional portfolio theory and the modified quadratic model gives similar and consistent results. In other words, the modified quadratic model asserts the accuracy of the conventional portfolio model. The portfolio constructed in the present study gives a return much higher than the return of the benchmark portfolio of Nifty Fifty, indicating the usefulness of applying the Quadratic Programming model.

Practical Implications: The construction of an optimal portfolio using the traditional or modified Quadratic model can help investors make rational investment decisions for better returns with lower risks.

Introduction: This chapter is intended to link the embracing strategy of ‘socially responsible investment’ with the apparent cause of economic destruction ‘financial crimes’. Today’s financial world is not always associated with ethics and morality, but it does not mean rising investments cause rising financial crimes. Socially responsible investing (SRI) has been rising, and many of today’s investors are interested in tracking ethically sound companies. Investors find a great way to invest around many investment opportunities, while socially responsible investors work with little social cause. This increasing literacy over SRI notably helps to reduce investments in unethical grounds which in turn reduces financial crimes.

Design/methodology: This work is premised on desk research. Conceptual and documentary methods were used in the study. The tertiary data source has been used in the study to develop a template describing the working of SRI in fixing financial crimes.

Findings: Findings of this study detail: a breakdown of industries that comes under SRI, channels of financial crimes, impact of SRI on financial crimes, and design an action plan for more effective environmental, social, and governance (ESG)-based investments to fix problems of financial crimes in the Indian economy.

Practical implications: The model of SRI has unfolded these days. While the purpose of these funds differs, they generally swear off the weapons industry and avoid ‘sin stocks’. In-depth analysis of this study area enables building quality investment strategy among investors and thereby helps to combat financial crimes.

The composition of bank liabilities has captured a lot of attention especially after the global financial crisis of 2008–2009. It is argued that a compositional change in non-core liabilities reflects the different stages of financial cycle. Banks usually fund their credits with core liabilities, which grow with households’ wealth, but when there is a faster growth in credits compared to deposits, the banks often resort to non-core liabilities to meet the excess demand for loans. This chapter analyses the relationship between non-core liabilities and credits in a small open economy, namely Turkey. It investigates the relationship under alternative settings and presents consistent evidence on a robust relationship between credits and non-core liabilities under all frameworks. The study also verifies that elevated demand for credit may induce some increase in non-core liabilities. Finally, the relationship between non-core liabilities and credit growth is also affirmed in the long run.

We investigate the return and volatility spillovers from major UK banks to Financial Times Stock Exchange 100 (FTSE 100) index using Gaussian estimation and continuous time models as well as discrete time multivariate GARCH (MGARCH) modelling approaches. Using daily, weekly and monthly data over the period December 1999–December 2010, which includes the recent 2007–2009 global financial crisis, empirical estimates of uni- and/or bi-directional return and volatility spillovers are provided. The bivariate MGARCH results reveal strong return spillovers from the FTSE to the banks, and no return spillover from the latter to the FTSE. Nevertheless, strong bi-directional volatility transmission is verified. The continuous time analysis provides mixed evidence of feedback effects over the different models.

This paper analyzes real and welfare effects of a permanent change in inflation rate, focusing on macroprudential policy’ role and its interaction with monetary policy.

While investigating disinflation costs, the authors simulate a medium-scale dynamic general equilibrium model with borrowing constraints, credit frictions and macroprudential authority.

Providing discussions on different policy scenarios in a context where still it is expected high inflation, there are three key contributions. First, when macroprudential authority actively operates to improve financial stability, losses caused by disinflation are limited. Second, a Taylor rule directly responding to financial variables might entail a trade-off between price and financial stability objectives, by increasing disinflation costs. Third, disinflation is welfare improving for savers, while costly for borrowers and banks. Indeed, while savers benefit from policies reducing price stickiness distortion, borrowers are worried about credit frictions, coming from collateral constraint.

The paper suggests threefold policy implications: the macroprudential authority should actively intervene during a disinflation process to minimize costs and financial instability deriving from it; policymakers should implement a disinflationary policy stabilizing also output; the central bank and the macroprudential regulator should pursue financial and price stability goals, separately.

This paper is the first attempt to study effects of a permanent inflation target reduction in focusing on the macroprudential policy’ role.

Poor performance of India’s commercial banks, in the public and private sectors as well as those owned by foreign interests, has been a major concern of the policymakers. Their gross non-performing assets (NPAs), as a proportion of gross advances, were 10.2% as of March 2017, which is reported to have grown to 11.6% in March 2018. The public sector banks (PSBs) have a share of 70% of business, and the ratio of NPAs to gross advances is 15.6%. The Reserve Bank of India’s forecast is that the ratio for PSBs would rise to 17.3% by March 2019, of private banks to 5.3%, and of foreign banks to 4.8%. This chapter focuses on causal factors which comprise macroeconomic as well as bank-specific factors, influencing NPA. We undertake a panel approach by using 16 annual observations (from fiscal year 2000–2001 to 2015–2016) for three groups of banks by ownership: public, private, and foreign. The study findings reveal that the macroeconomic and bank-specific factors are important determinants.

Introduction: The credit default swap (CDS) represents a country’s credit risk premium. CDS premium changes by being affected by several factors. These changes are followed by international investor for their investment decisions. CDS premium is important for country to determine the country default risk correctly. Purpose: In this study, the authors seek to examine the effects of macroeconomic indicators on the CDS premium, which is used as a measure of sovereign credit risk. Accordingly, in addition to the CDS premium, economic growth, the inflation rate, the interest rate, the real exchange rate, the net foreign debt rate, and the foreign trade deficit rate were employed to represent macroeconomic indicators. Methodology: The relationship between the given variables during the period spanning from 2009:I–2019:II in Turkey was analyzed with the help of the Dolado–Lütkepohl causality test and the autoregressive distributed lag method. Findings: The inflation rate, the real exchange rate, the interest rate, the net foreign debt rate, and the foreign trade deficit rate, which are among the macroeconomic variables (excluding economic growth), have a positive effect on the CDS premium in the short term as well as the long term. The effect of economic growth is negative. Additionally, from an economic standpoint, the coefficients of macroeconomic variables are in the expected direction. These findings verify the effects of macroeconomic indicators on the CDS premium.

In this chapter we investigate the response of bond markets to macroeconomic news announcements in the euro area. Specifically, we analyze the impact of (un)expected changes in the interest rate, unemployment rate, consumer confidence index and industrial production index on the returns, volatility and correlations of European government bond markets. Overall, our results suggest that, bond return volatility strongly reacts to news announcements and that the response is asymmetric. However, the influence of macroeconomic news announcements appears insignificant for bond returns. Finally, our results paint a complex picture of the effect of macroeconomic news releases on correlations.