Stock repurchases and treasury share sales: Do they stabilize price and enhance liquidity?

The article studies the impact of a firm’s trading in its own shares on the volatility and market liquidity of the firm’s stock in the Italian stock market. In the study, both stock repurchases and treasury share sales executed on the open market are defined as trading in own shares. The study finds that Italian firms can reduce the volatility of their stock and boost market liquidity by trading their own shares.

Analytic hierarchy process helps evaluate projects in Indian oil pipeline industry

Conventionally, oil pipeline projects are evaluated thoroughly by the owner before investment decision is made using market, technical and financial analysis sequentially. The market analysis determines pipelines throughput and supply and demand points. Subsequent, technical analysis identifies technological options and economic and financial analysis then derives the least cost option among all technically feasible options. The subsequent impact assessment tries to justify the selected option by addressing environmental and social issues. The impact assessment often suggests alternative sites, technologies, and/or implementation methodology, necessitating revision of technical and financial analysis. This study addresses these issues via an integrated project evaluation and selection model. The model uses analytic hierarchy process, a multiple-attribute decision-making technique. The effectiveness of the model has been demonstrated through a case application on cross-country petroleum pipeline project in India.

Stock index reaction to large price changes:evidence frommajor Asian stock indexes

We examine the short-term price behavior of ten Asian stock market indexes following large price changes or “shocks”. Under the standard OLS regression, there is stronger support for return continuations particularly following positive and negative price shocks of less than 10% in absolute size. The results under the GJR-GARCH method provide stronger support for market efficiency, especially for large price shocks. For example, for the Hong Kong stock index, negative shocks of less than -5% but more than -10% generate a significant one day cumulative abnormal return (CAR) of-0.754% under the OLS method, but an insignificant CAR of 0.022% under the GJR-GARCH. We find no support for the uncertainty information hypothesis. Furthermore, the CARs following the period after the Asian financial crisis adjust more quickly to price shocks.

Volatility transmission in the UK equity market

We provide evidence of the nature of the transmission of volatility within the UK stock market. We find a distinct asymmetry in that shocks to the return volatility of a portfolio of relatively large firms influence the future volatility of a portfolio of relatively small firms, but find that the reverse is not the case. The characteristics of the volatility process suggest that this result is not caused by thin trading.

Internet financial reporting in Saudi Arabia: users' perceptions and disclosures

This thesis investigates corporate financial disclosure practices on Web sites and their impact. This is done, first by examining the views of various Saudi user groups (institutional investors, financial analysts and private investors) on disclosure of financial reporting on the Internet and assessing differences, if any, in perceptions of the groups. Over 303 individuals from three groups responded to a questionnaire. Views were elicited regarding: users attitude to the Internet infrastructure in Saudi Arabia, users information sources about companies in Saudi Arabia, respondents perception about the advantages and disadvantages in Internet financial reporting (IFR), respondents attitude to the quality of IFR provided by Saudi public companies and the impact of IFR on users information needs. Overall, it was found professional groups (Institutional investors, financial analysts) hold similar views in relation to many issues, while the opinions of private investors differ considerably. Second, the thesis examines the use of the Internet for the disclosure of financial and investor-related information by Saudi public companies (113 companies) and look to identify reasons for the differences in the online disclosure practices of companies by testing the association between eight firm-specific factors and the level of online disclosure. The financial disclosure index (167 items) is used to measure public company disclosure in Saudi Arabia. The descriptive part of the study reveals that 95 (84%) of the Saudi public companies in the sample had a website and 51 (45%) had a financial information section of some description. Furthermore, none of the sample companies provided 100% of the 167 index items applicable to the company. Results of multivariate analysis show that firm size and stock market listing are significant explanatory variables for the amount of information disclosed on corporate Web sites. The thesis finds a significant and negative relationship between the proportion of institutional ownership of a companys shares and the level of IFR.

Breaking down the non-normality of daily stock returns

This paper investigates whether the non-normality typically observed in daily stock-market returns could arise because of the joint existence of breaks and GARCH effects. It proposes a data-driven procedure to credibly identify the number and timing of breaks and applies it on the benchmark stock-market indices of 27 OECD countries. The findings suggest that a substantial element of the observed deviations from normality might indeed be due to the co-existence of breaks and GARCH effects. However, the presence of structural changes is found to be the primary reason for the non-normality and not the GARCH effects. Also, there is still some remaining excess kurtosis that is unlikely to be linked to the specification of the conditional volatility or the presence of breaks. Finally, an interesting sideline result implies that GARCH models have limited capacity in forecasting stock-market volatility.

Impact of derivatives trading on emerging stock markets:some evidence from India

It is generally accepted that the introduction of financial derivatives that facilitate hedging is an important step in the development of stock markets. However, financial derivatives can potentially increase volatility in the underlying cash market, which might be detrimental to the development of the stock market itself. Using data from India, we examine one possible route through which derivatives trading can increase cash market volatility: expiration day effect. Our results indicate that expiration of equity derivatives contracts does not have any effect on the intra-day volatility of the market index, and it reduces the volatility of inter-day returns to the index.

Testing for financial crashes using the Log Periodic Power Law model

Many papers claim that a Log Periodic Power Law (LPPL) model fitted to financial market bubbles that precede large market falls or 'crashes', contains parameters that are confined within certain ranges. Further, it is claimed that the underlying model is based on influence percolation and a martingale condition. This paper examines these claims and their validity for capturing large price falls in the Hang Seng stock market index over the period 1970 to 2008. The fitted LPPLs have parameter values within the ranges specified post hoc by Johansen and Sornette (2001) for only seven of these 11 crashes. Interestingly, the LPPL fit could have predicted the substantial fall in the Hang Seng index during the recent global downturn. Overall, the mechanism posited as underlying the LPPL model does not do so, and the data used to support the fit of the LPPL model to bubbles does so only partially. © 2013.

Empirical studies of corporate governance in China

The thesis aims to provide empirical studies towards Chinese corporate governance. Since China initially established its stock exchange system in the 1990s, it has gone through different stages of changes to become a more market-oriented system. Extensive studies have been conducted in Chinese corporate governance, however, many were theoretical discussion focusing on the early stages and there‘s a general lack of empirical analysis. This paper provides three empirical analysis of the Chinese corporate governance: the overall market discipline efficiency, the impact of capital structure on agency costs, the status of 2005- 2006 reform that substantially modified ownership structure of Chinese listed firms and separated ownership and control of listed firms. The three empirical studies were selected to reflect four key issues that need answering: the first empirical study, using event study to detect market discipline on a collective level. This study filled a gap in the Chinese stock market literature for being the first one ever using cross-market data to test market discipline. The second empirical study endeavoured to contribute to the existing corporate governance literature regarding capital structure and agency costs. Two conclusions can be made through this study: 1) for Chinese listed firms, higher gearing means higher asset turnover ratios and ROE, i.e. more debts seem to reduce agency costs; 2) concentration level of shares appears to be irrelevant with company performance, controlling shareholders didn‘t seem to commit to the improvement of corporate assets utilization or contribute to reducing agency costs. This study addressed a key issue in Chinese corporate governance since the state has significant shareholding in most big listed companies. The discussion of corporate governance in the Chinese context would be completely meaningless without discussing the state‘s role in corporate governance, given that about 2/3 of the almost all shares were non-circulating shares controlled by the state before the 2005-2006 overhaul ownership reform. The third study focused on the 2005-2006 reform of ownership of Chinese listed firms. By collecting large-scale data covering all 64 groups of Chinese listed companies went through the reform by the end of 2006 (accounting for about 97.86% and 96.76% of the total market value of Shanghai (SSE) and Shenzhen Stock Exchange (SZSE) respectively), a comprehensive study about the ownership reform was conducted. This would be first and most comprehensive empirical study in this area. The study of separated ownership and control of listed firm is the first study conducted using the ultimate ownership concept in Chinese context.

Intellectual property activity by service sector and manufacturing firms in the United Kingdom, 1996-2000

This paper provides evidence from a newly constructed database of UK firms about the extent of their intellectual property acquisition activities over five years. We focus on service sector firms, which have not previously been studied, with comparisons for firms in manufacturing and other sectors, such as agriculture. The measures of IP include both trade marks, which are most important in services, and patents, which are predominantly sought by manufacturing firms. The analysis includes patents and trade marks applied for via both the UK and European routes. While IP assets sought through the UK Patent Office remained strong, more services firms were seeking European Community trade marks and more manufacturing firms were seeking patents via European Patent Office through time. Firm characteristics that are positively correlated with IP activity include larger firm size, stock market listed status and high product market diversification.

Multivariate FIAPARCH modelling of financial markets with dynamic correlations in times of crisis

This paper applies the vector AR-DCC-FIAPARCH model to eight national stock market indices' daily returns from 1988 to 2010, taking into account the structural breaks of each time series linked to the Asian and the recent Global financial crisis. We find significant cross effects, as well as long range volatility dependence, asymmetric volatility response to positive and negative shocks, and the power of returns that best fits the volatility pattern. One of the main findings of the model analysis is the higher dynamic correlations of the stock markets after a crisis event, which means increased contagion effects between the markets. The fact that during the crisis the conditional correlations remain on a high level indicates a continuous herding behaviour during these periods of increased market volatility. Finally, during the recent Global financial crisis the correlations remain on a much higher level than during the Asian financial crisis.

Modelling stock volatilities during financial crises:a time varying coefficient approach

We examine how the most prevalent stochastic properties of key financial time series have been affected during the recent financial crises. In particular we focus on changes associated with the remarkable economic events of the last two decades in the volatility dynamics, including the underlying volatility persistence and volatility spillover structure. Using daily data from several key stock market indices, the results of our bivariate GARCH models show the existence of time varying correlations as well as time varying shock and volatility spillovers between the returns of FTSE and DAX, and those of NIKKEI and Hang Seng, which became more prominent during the recent financial crisis. Our theoretical considerations on the time varying model which provides the platform upon which we integrate our multifaceted empirical approaches are also of independent interest. In particular, we provide the general solution for time varying asymmetric GARCH specifications, which is a long standing research topic. This enables us to characterize these models by deriving, first, their multistep ahead predictors, second, the first two time varying unconditional moments, and third, their covariance structure.

The Role of Price Floor in a Differentiated Product Retail Market

The ability of a manufacturer to enhance competition among its retailers by imposing a price floor was recently introduced in the literature. The purpose of this article is to revisit this anti-collusive explanation of the retail price maintenance in a more general model in which we introduce asymmetric retailers. We find that a manufacturer can amplify the retail market’s competition by imposing a price foor when retailers sell differentiated products. This result contradicts the prevailing concept of retail price maintenance.

A likviditási mutatószámok struktúrája (Structure of liquidity measures)

A likviditás mérésére többféle mutató terjedt el, amelyek a likviditás jelenségét különböző szempontok alapján számszerűsítik. A cikk a szakirodalom által javasolt, különféle likviditási mutatókat elemzi sokdimenziós statisztikai módszerekkel: főkomponens-elemzés segítségével keresünk olyan faktorokat, amelyek legjobban tömörítik a likviditási jellemzőket, majd megnézzük, hogy az egyes mutatók milyen mértékben mozognak együtt a faktorokkal, illetve a korrelációk alapján klaszterezési eljárással keresünk hasonló tulajdonságokkal bíró csoportokat. Arra keressük a választ, hogy a rendelkezésünkre álló minta elemzésével kialakított változócsoportok egybeesnek-e a likviditás egyes aspektusaihoz kapcsolt mutatókkal, valamint meghatározhatók-e olyan összetett likviditási mérőszámok, amelyeknek a segítségével a likviditás jelensége több dimenzióban mérhető. / === / Liquidity is measured from different aspects (e.g. tightness, depth, and resiliency) by different ratios. We studied the co-movements and the clustering of different liquidity measures on a sample of the Swiss stock market. We performed a PCA to obtain the main factors that explain the cross-sectional variability of liquidity measures, and we used the k-means clustering methodology to defi ne groups of liquidity measures. Based on our explorative data analysis, we formed clusters of liquidity measures, and we compared the resulting groups with the expectations and intuition. Our modelling methodology provides a framework to analyze the correlation between the different aspects of liquidity as well as a means to defi ne complex liquidity measures.

International stock portfolio selection and performance measures recognizing higher moments of return distributions

Since the seminal works of Markowitz (1952), Sharpe (1964), and Lintner (1965), numerous studies on portfolio selection and performance measure have been based upon the mean-variance framework. However, several researchers (e.g., Arditti (1967, and 1971), Samuelson (1970), and Rubinstein (1973)) argue that the higher moments cannot be neglected unless there is reason to believe that: (i) the asset returns are normally distributed and the investor's utility function is quadratic, or (ii) the empirical evidence demonstrates that higher moments are irrelevant to the investor's decision. Based on the same argument, this dissertation investigates the impact of higher moments of return distributions on three issues concerning the 14 international stock markets.^ First, the portfolio selection with skewness is determined using: the Polynomial Goal Programming in which investor preferences for skewness can be incorporated. The empirical findings suggest that the return distributions of international stock markets are not normally distributed, and that the incorporation of skewness into an investor's portfolio decision causes a major change in the construction of his optimal portfolio. The evidence also indicates that an investor will trade expected return of the portfolio for skewness. Moreover, when short sales are allowed, investors are better off as they attain higher expected return and skewness simultaneously.^ Second, the performance of international stock markets are evaluated using two types of performance measures: (i) the two-moment performance measures of Sharpe (1966), and Treynor (1965), and (ii) the higher-moment performance measures of Prakash and Bear (1986), and Stephens and Proffitt (1991). The empirical evidence indicates that higher moments of return distributions are significant and relevant to the investor's decision. Thus, the higher moment performance measures should be more appropriate to evaluate the performances of international stock markets. The evidence also indicates that various measures provide a vastly different performance ranking of the markets, albeit in the same direction.^ Finally, the inter-temporal stability of the international stock markets is investigated using the Parhizgari and Prakash (1989) algorithm for the Sen and Puri (1968) test which accounts for non-normality of return distributions. The empirical finding indicates that there is strong evidence to support the stability in international stock market movements. However, when the Anderson test which assumes normality of return distributions is employed, the stability in the correlation structure is rejected. This suggests that the non-normality of the return distribution is an important factor that cannot be ignored in the investigation of inter-temporal stability of international stock markets. ^