Demand–supply imbalances in the credit default swap market: empirical evidence

This paper empirically examines demand–supply imbalances in the credit default swap (CDS) market and provides evidence of its effect on the CDS spread dynamics. Analysis is conducted on a large and homogenous data set of the 92 non-financial European companies with the most quoted Euro-denominated CDS contracts during the 2002–2008 period. Main findings indicate that short-term CDS price movements, not related to fundamentals, are positively affected by demand–supply imbalances when protection buyers outstrip protection sellers. Results illustrate that CDS spreads reflect not only the price of credit protection, but also a liquidity premium for the anticipated cost of unwinding the position of protection sellers, especially during stress periods.     

The Friedman rule and inflation targeting

We use concepts from the financial economics discipline – and in particular the methods of continuous time finance – to develop a monetarist model under which the rate of inflation evolves in terms of a first-order mean reversion process based on a ‘white noise’ error structure. The Fokker–Planck (i.e. the Chapman–Kolmogorov) equation is then invoked to retrieve the steady-state (i.e. unconditional) probability distribution for the rate of inflation. Monthly data for the UK Consumer Price Index (CPI) covering the period from 1988 until 2012 are then used to estimate the parameters of the probability distribution for the UK inflation rate. The parameter estimates are compatible with the hypothesis that the UK inflation rate evolves in terms of a slightly skewed and highly leptokurtic probability distribution that encompasses non-convergent higher moments. We then determine the Hamilton–Jacobi–Bellman fundamental equation of optimality corresponding to a monetary policy loss function defined in terms of the squared difference between the targeted rate of inflation and the actual inflation rate. Optimising and then solving the Hamilton–Jacobi–Bellman equation shows that the optimal control for the rate of increase in the money supply will be a linear function of the difference between the current rate of inflation and the targeted inflation rate. The conditions under which the optimal control will lead to the Friedman rule are then determined. These conditions are used in conjunction with the Fokker–Planck equation and the mean reversion process describing the evolution of the inflation rate to determine the probability distribution for the inflation rate under the Friedman rule. This shows that whilst the empirically determined probability distribution for the UK inflation rate meets some of the conditions required for the application of the Friedman rule, it does not meet them all.     

South Korea’s finance–growth nexus: evidence from VARX analysis with financial crisis and openness

South Korea’s finance–growth nexus is empirically investigated by taking the elements of financial crisis and trade and financial openness through the newly developed approach of vector error-correction models (ECMs) with weakly exogenous I(1) variables (VARX). Considering financial development as a more complex phenomenon, we take into estimation two aspects of financial deepening that are measured by its size (private credit to GDP) and efficiency (private credit to total domestic deposits). The main findings are (1) financial efficiency contributes to accelerating economic growth; (2) the causality between economic growth and financial size is bilateral and negative; and (3) financial crisis is negative to both economic growth and financial development, whereas the growth-promoting effects of trade and financial openness are confirmed.     

Impact of financial market uncertainty and macroeconomic factors on stock–bond correlation in emerging markets

This paper examines the impact of global financial market uncertainty and domestic macroeconomic factors on stock–bond correlation in emerging markets. In particular, by applying the wavelet analysis approach, we are able to examine stock–bond correlations over different time horizons in ten emerging markets. We find that stock–bond correlation patterns vary significantly between the time horizons. In particular, the correlation in short horizon changes the sign rapidly showing sustainable negative episodes while the correlation in long horizon stays positive most of the time. The most important factor influencing stock–bond correlation in short horizon is the monetary policy stance, while the factors with the greatest long-term impact are inflation and stock market uncertainty. Finally, global stock market uncertainty plays a more significant role than global bond market uncertainty in explaining stock–bond correlations in emerging markets.     

Administrative division adjustments and stock price comovement: Evidence from the city–county mergers in China

Under the background of Chinese market segmentation, whether government-led administrative division adjustments can promote regional economic integration is a practical issue. Taking interregional firms’ stock price comovement as a micro measurement of regional integration, this paper investigates the regional integration effect of administrative division adjustments, i.e., city–county mergers. We find that stock price comovement between county-level and municipal district-level firms in the merged counties and municipal districts significantly improve after city–county mergers, particularly in regions with a higher degree of market segmentation and lower degree of marketization. We further find that the increase in stock price comovement caused by city–county mergers emerges from the increase in comovement of real activities between firms in the merged counties and municipal districts. Taken together, our results suggest that government-led administrative division adjustments effectively promote regional integration.     

Time-consistent mean-variance reinsurance-investment strategy for insurers under CEV model

We consider an optimal time-consistent reinsurance-investment strategy selection problem for an insurer whose surplus is governed by a compound Poisson risk model. In our model, the insurer transfers part of the risk due to insurance claims via a proportional reinsurance and invests the surplus in a simplified financial market consisting of a risk-free asset and a risky stock. The dynamics of the risky stock is governed by a constant elasticity of variance model to incorporate conditional heteroscedasticity as well as the feedback effect of an asset’s price on its volatility. The objective of the insurer is to choose an optimal time-consistent reinsurance-investment strategy so as to maximize the expected terminal surplus while minimizing the variance of the terminal surplus. We investigate the problem using the Hamilton-Jacobi-Bellman dynamic programming approach. Closed-form solutions for the optimal reinsurance-investment strategies and the corresponding value functions are obtained in both the compound Poisson risk model and its diffusion approximation. Numerical examples are also provided to illustrate how the optimal reinsurance-investment strategy changes when some model parameters vary.     

When does a public–private partnership (PPP) lead to inefficient cost management? Evidence from South Korea’s urban rail system

This paper investigates the impact of a public–private partnership (PPP) on the operational cost-efficiency of South Korea’s urban rail system. Seoul’s line 9, which is operated by a PPP, was compared with Seoul Metropolitan Rapid Transit (SMRT) which is entirely run by the public sector. Overall, no evidence was found that private operation led to clear and significant declines in costs to the public. Private shareholders, on the other hand, experienced a surprisingly high rate of return. The author explains why two characteristics defining a typical PPP—activity bundling and public–private risk-sharing—were behind this unintended outcome and makes suggestions to prevent other governments experiencing similar problems.     

The impact of contract characteristics on the performance of public–private partnerships (PPPs)

Four significant features of public–private partnership (PPP) contracts are analysed to understand their impact on performance. These are whether the contract allows sanctions to be imposed; its complexity; its flexibility; and whether renegotiation is possible. The effects of these characteristics were investigated by surveying participants in all of the PPP projects in The Netherlands. The only feature considered to have any significant impact on perceived performance was the possibility of imposing sanctions. The authors’ findings cast doubt on earlier research into managing PPP performance and suggest that researchers, governments and the private sector need to look beyond contract terms to properly understand and manage PPP performance.     

Infrastructure public–private partnership project ecosystem – financial and economic positioning of stakeholders

The purpose of this paper is to construct an analytical cash flow-based project model to facilitate project appraisal of both private investors and public sector. With the help of the model that focuses on ecosystem and its stakeholders, it is simpler to identify potential conflicts usually encountered in public–private partnership (PPP) projects. The model construct is based on classical cash flow accounting and cost–benefit analysis. In the model, the flows of cash (private investors) and the flows of costs and benefits (public investors) are integrated in a single framework. The model shows that within the ecosystem the investors' (public vs. private) social, economic and financial targets are not necessarily coinciding. Prospecting of common ground and win–win situations becomes a crucial success factor for any PPP project. The paper discusses the policy and investment strategy implications for successful PPPs.     

Partial differential equations for Asian option prices

In this article, we consider fixed and floating strike European style Asian call and put options. For such options, there is no convenient closed-form formula for the prices. Previously, Rogers and Shi, Vecer, and Dubois and Lelièvre have derived partial differential equations with one state variable, with the stock price as numeraire, for the option prices. In this paper, we derive a whole family of partial differential equations, each with one state variable with the stock price as numeraire, from which Asian options can be priced. Any one of these partial differential equations can be transformed into any other. This family includes four partial differential equations which have a particularly simple form including the three found by Rogers and Shi, Vecer, and Dubois and Lelièvre. Our analysis includes the case of a dividend yield; we also include the case of in progress Asian options with floating strike, whereby we discuss the new equation proposed by Vecer, which uses the average asset as numeraire. We perform an error analysis on the four special partial differential equations and Vecer’s new equation and find that their truncation errors are all of the same order. We also perform numerical comparisons of the five partial differential equations and conclude, as expected, that Vecer’s equations and that of Dubois and Lelièvre do better when the volatility is low but that with higher volatilities the performance of all five equations is similar. Vecer’s equations are unique in possessing a certain martingale property and as they perform numerically well or better than the others, must be considered the preferred choice.