Markowitz efficiency and size effect: evidence from the UK stock market

Academics and practitioners have frequently debated the relationship between market capitalization and expected return. We apply the Markowitz efficient frontier approach to develop a portfolio performance measure that compares the return of a portfolio to its optimal return, using data from the UK stock market over the period 1985–2012. Our results show that there is a negative relationship between portfolio size and portfolio return during the period under study. When comparing actual portfolio return with achievable return for the same level of risk, we find that as the portfolio size expands, underperformance of the portfolio increases, i.e. the larger the portfolio size, the greater the underperformance. This indicates that Markowitz efficiency is difficult to achieve, particularly in large portfolios. Changing model parameters leads to alternative efficient frontiers that impact upon the measurement of performance. However, the use of alternative efficient frontiers does not affect our result of the size effect on the relative performance of portfolios. Our study shows that the size effect is present over the full period. Our findings also suggest that the excess returns found in small portfolios are likely to be associated with higher levels of diversifiable risk in comparison with larger portfolios. Furthermore, in contrast to other studies, we find no evidence to support the size reversal effect in the data.     

Spatial Price Discrimination in Input Markets with an Endogenous Market Boundary

This paper examines the welfare effect of third-degree price discrimination in a vertically related market with one upstream monopolist that sells its input to a continuum of downstream markets. Assume that the market boundary of the monopolist is endogenously determined. It is found that social welfare is necessarily lower under discriminatory than uniform pricing, even if the market area of the former is greater than that of the latter. This finding is contrary to that in the extant literature on price discrimination in final goods markets.     

Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach

Opinion leaders are the people in a social network who have the greatest influence on other people's acknowledgment or adoption of products/services in the diffusion process of technological innovation. In this research, we investigate which opinion leader is the best marketing choice in terms of diffusion speed and maximum cumulative number of adopters, using a social network approach and threshold model. On the basis of the simulation result, we find that opinion leaders with high sociality are the best ones for fast diffusion, whereas those with high distance centrality are the best ones for the maximum cumulative number of adopters. Moreover, we conclude that the characteristics of effective opinion leaders selected as initial adopters could vary depending on the characteristics of the social network and type of innovation. Finally, we find that opinion leaders affect the diffusion process only when the percentage of initial adopters reaches a critical mass.     

Interactive music for multisensory e-commerce: The moderating role of online consumer involvement in experiential value,cognitive value,and purchase intention

Background music adds a multisensory element to marketing and e-commerce. Applying interactive sensory-enabling technologies (SETs) to online shopping websites is an area of interest in sensory marketing. This research examines interactive background music in e-commerce and investigates how online consumer involvement moderates the effects of interactive music. Single-factor experiments with three conditions (interactive music, static background music, and control) were conducted to investigate its impact on experiential value, cognitive value, and purchase intention of high- and low-involvement consumers among both students (Study 1, N = 251) and nonstudent samples (Study 2, N = 218). Different music genres were applied to stimuli of the two studies to demonstrate the generalizability of the findings. Results find that interactive music enhances the experiential value of e-commerce for low-involvement consumers. By contrast, high-involvement consumers show greater purchase intention under the interactive music condition due to a heightened level of perceived cognitive value. Involvement is an effective predictor of elaboration and purchase intention under the interactive music condition, but not under the other two conditions. The contribution is twofold: (a) it shows the impact of music as an interactive SET and, (b) demonstrates the moderating role of consumer involvement in the context of multisensory integration in e-commerce. Theoretical and practical implications are discussed along with limitations and directions for future research.     

Analysis on the determinants of currency invoicing in Korean trade

We investigate the determinants of currency invoicing in trade using import and export transactions data between Korea and its 30 major trading partners from 2000 to 2013. We find a noticeably different pattern of currency invoicing from advanced countries. For example, a large market share of Korean exporters in partner countries does not guarantee more use of the Korean won in currency invoicing. This might be attributed to a low degree of Korean won's internationalisation and the strong coalescing effect. We also observe that the higher the level of industry product differentiation, the weaker the coalescing motive. In addition, we verify that the share of invoicing in the currency of Korea's trading partner tends to be higher when the partner country has (i) a larger trade volume, (ii) higher level of financial development, (iii) lower inflation and lower price volatility and (iv) its own currency with lower transaction costs.     

Two-stage stationary bootstrapping for bivariate average realized volatility matrix under market microstructure noise and asynchronicity

Under the two important modern financial market features of noise and non-synchronicity for multiple assets, for consistent estimators of the integrated covariations, we adopt the two-time scale average realized volatility matrix (ARVM) which is a matrix extension of the two-time scale realized volatilities of Zhang et al. (2005). An asymptotic normal theory is provided for the two-time scale ARVM and resulting realized covariations. The asymptotic normality is not directly applicable in practice to construct statistical methods owning to nuisance parameters. To bypass the nuisance parameter problem, two-stage stationary bootstrapping is proposed. We establish consistencies of the bootstrap distributions, and construct confidence intervals and hypothesis tests for the integrated covariance, regression coefficient and correlation coefficient. The validity of the stationary bootstrap for the high frequency heterogeneous returns is proved by showing that there exist parameters of the stationary bootstrap blocks so that the bootstrap consistencies hold. The proposed bootstrap methods extend the i.i.d. bootstrapping methods for realized covariations by Dovonon et al. (2013), that are confined to synchronous noise-free sampling. For high frequency noisy asynchronous samples, a Monte-Carlo experiment shows better finite sample performances of the proposed stationary bootstrap methods based on the two-time scale ARVM estimator than the wild blocks of blocks bootstrap methods of Hounyo (2017), based on pre-averaged truncated estimator.     

The Optimal Mortgage Loan Portfolio in UK Regional Residential Real Estate

In this study, we propose a method based on large deviation theory (LDT), which minimises credit risk (expected loss). We demonstrate how mortgage loan portfolios can be optimised using geographical differences in the risk characteristics of mortgage loans in the UK. Our empirical results show that credit risk can be reduced by a third when the LDT method is used instead of the benchmark portfolios that we calculate with regional-gross-value-added weights and equal weights. More importantly, the difference in the expected loss between these portfolios increases further during bearish housing markets. To see that such numbers matter, in an extreme scenario, the UK mortgage lenders could lose more than 2% a year as the consequence of mortgage defaults, which is equivalent to an annual loss of approximately 20 billion pounds in the UK. Although this extreme state would not continue for a long time, it nevertheless represents a huge potential loss for mortgage lenders and investors.     

A Study on Designing a Financial Supervisory Institution in Taiwan

This paper investigates world trends in financial supervision, including the separation of treasury and finance and the shift from departmental regulation to functional regulation. Based on the trend toward integration in financial supervision and examination, this paper proposes the adoption of a functional approach to financial supervision and the problems that may occur when we restructure the financial supervisory framework in Taiwan. This paper also discusses various financial supervisory institution models and weighs their advantages and disadvantages. Finally, it advances other issues concerned with the restructuring of the financial supervisory system, including the repositioning of the Central Deposit Insurance Corporation (CDIC), and adjustments in the powers conferred upon the Central Bank to conduct examinations.     

Selectivity,Quality Adjustment and Mean Reversion in the Measurement of House Values*

This paper develops a model of price formation in the housing market which accounts for the non-random selection of those dwellings sold on the market from the stock of existing houses. The model we develop also accounts for changes in the quality of dwellings themselves and tests for mean reversion in individual house prices. The model is applied to a unique body of data representing all dwellings sold in Sweden's largest metropolitan area during the period 1982–1999. The analysis compares house price indices that account for selectivity, quality change and mean reversion with the conventional repeat sales models used to describe the course of metropolitan housing prices. We find that the repeat sales method yields systematically large biased estimates of the value of the housing stock. Our comparison suggests that the more general approach to the estimation of housing prices or housing wealth yields substantially improved estimates of the course of housing prices and housing wealth.     

Litigation environment and auditors’ decisions to accept clients’ aggressive reporting

This study contributes to accounting and auditing literature by addressing two empirical questions: (1) whether litigation environment affects auditors’ decisions to accept clients’ aggressive reporting and (2) whether litigation environment, client business risk, and client retention pressure interact and jointly affect auditors’ decisions to go along with clients’ preferred accounting choices. Fifty-nine (59) US and sixty-one (61) Hong Kong auditors employed by the Big-4 accounting firms participated in this study. The result shows that litigation environment has a significant effect on auditors’ decisions. Auditors who practice in more litigious environments tend to be less willing to go along with clients’ aggressive reporting than those who practice in less litigious environments. This study also confirms that there is a significant interactive effect between litigation environment, client business risk, and client retention pressure on auditors’ decisions to accept clients’ aggressive reporting choices. Implications of the empirical findings for policymakers, standard-setting organizations, and international accounting firms, as well as directions for future studies, are discussed.