Evaluation of Selected Methods of Classification for the Warsaw Stock Exchange

The portfolio analysis allows a complex analysis of all the securities and it is connected with diversification of the portfolios risk. The problem that arises before the portfolios will be constructed and is connected with database of securities—what generally simplifies selection securities to portfolios. In a way of building database can be useful a taxonomic methods. The main aim of the paper is researching stability classifications for proposing methods and verification how different or similar they are. Such an approach in analysis of classification stability gives more information about researching companies and their financial or economic stability. It also gives information about the Polish capital market. In addition, such analyses are useful in making investment decisions, particularly in selection companies to portfolio. Presented at the Fifty-Seventh International Atlantic Economic Conference, March 10–14, 2004, Lisbon, Portugal.     

Discrete Choice Model Application to the Credit Risk Evaluation

The aim of the paper is to discuss the application of classification functions and artificial neural networks (such as multilayer perceptron and radial basis function) to recognize the risk category of investigated companies. The research is based on data from 295 enterprises that applied for credit in two regional banks operating in Poland. Each firm is described by 13 diagnostic variables and potential borrowers are classified into four classes. The efficiency of classification is evaluated in terms of classification errors calculated from the actual classification made by the credit officers. The results of the experiments show that application of artificial neural networks and classification functions can support the creditworthiness evaluation of borrowers.     

股指期货的推出对现货市场影响的实证研究——基于新华富时A50的分析

股指期货的推出对现货市场波动性的影响一直备受学术界的关注,本文通过GARCH模型,分析了新加坡证券交易所推出的新华富时A50股指期货对沪深300指数的影响,发现股指期货的推出轻微地增大了现货市场的波动性,同时信息对现货市场的冲击更强;通过TARCH/EGARCH模型发现,股指期货的推出增大了现货市场的非对称效应。     

Trading with Tigers: A Technical Analysis of Southeast Asian Stock Index Futures

ABSTRACT

Our paper examines the profitability of technical trading rules in Southeast Asian (SEA) ‘tiger cub’ stock index futures markets during and after the global financial crisis (GFC) of 2007/2008. Using daily closing price data from 2007 to 2012, we explore technical trading rules such as exponential moving averages (EMA (20), EMA (100), EMA (20,100)) and moving average convergence divergence (MACD) in Indonesia, Malaysia, the Philippines and Thailand. The findings reveal that after applying trading rules that account for transaction costs and risk, abnormal profits cannot be achieved above a naı¨ve ‘buy-and-hold’ strategy (with the exception of EMA (100) and EMA (20,100) in Indonesia, and EMA (20,100) in both the Philippines and Thailand). There appears to be some degree of success with the application of longer-term trading rules; however, unless transaction costs can be reduced, investors are best advised to pursue passive investment approaches. Despite the economic uncertainty associated with the GFC and ongoing market volatility, it appears that SEA tiger cub stock index futures markets are weak-form efficient.     

基于波动效应与价格发现的期指仿真交易研究

采用修正的GARCH模型和向量误差修正模型（VEC）将股指期货推出后现货市场波动性的变化和股指期货与现货市场的价格发现功能结合起来进行对比研究发现,期指仿真交易的推出对于现货市场效率的改进确实存在正面的影响。其引入在短期内加大了现货市场的波动,但这一波动正是市场信息流动加速的反映,因而提高了市场信息的传递效率。研究同时也表明,期货价格领先于现货价格,存在由期货市场到现货市场长期的单向因果关系,说明期货价格具有引导现货价格向均衡方向调整的功能,从而在经验上支持了股指期货市场的开放政策。     

The Efficiency of the Realized Range Measure of Daily Volatility: Evidence from Greece

In this study we estimate and compare the realized range volatility, a novel efficient volatility estimator computed by summing high–low ranges for intra‐day intervals, to the recently popularized realized variance estimator obtained by summing squared intra‐day returns. Our results, derived from a Greek equity high‐frequency data set, show that realized range‐based measures improve upon the corresponding realized variance‐based ones in most cases, especially for the most actively traded stocks. The usefulness of high‐frequency data in measuring and forecasting financial volatility is apparent throughout the paper.     

中国股指期货对现货市场联动效应的实证研究——基于沪深300仿真指数期货数据的分析

股指期货的推出对现货市场波动性的影响一直以来备受学术界的关注。目前的研究表明,长期内股指期货对现货市场波动性影响不明显,短期内有助推作用。本文基于中金所推出的沪深300指数仿真期货对沪深300指数的影响进行了分析,发现股指期货的推出对现货市场的波动性没有较大影响,但增大了现货市场的非对称效应;研究结果不能证明股灾时期股指期货对现货产生瀑布效应。     

The Impact of Monetary Surprises on Australian Financial Futures Markets: An Insight into Cash Rate Target Announcements

This paper investigates the impact of unanticipated Australian monetary policy changes on AUD/USD exchange rate futures, and 3‐year and 10‐year Australian Treasury bond futures, during the period from January 1997 to April 2010. Our study contributes to the literature by using both the 30‐day and the 90‐day bank accepted bill (BAB) rates to disentangle the unexpected surprise component of monetary policy changes from overall cash rate target changes in the Australian money market, and by concurrently modelling the effects of monetary surprises and other key macroeconomic announcements in Australia. The empirical results suggest that the 30‐day BAB rate is the best proxy for the expected monetary policy actions. We find that the effect of monetary surprises on the volatility of the 3‐ and 10‐year bond future instruments is significant and persistent. We have also documented a strong monetary policy effect on the mean returns of the exchange rate futures, indicating that unexpected monetary policy adjustments have a significant impact on the level of the exchange rate movements rather than on the volatility of the FX futures market.     

Dividend-Driven Trading Strategies: Evidence from the Warsaw Stock Exchange

This study presents an analysis of dividend-driven trading strategies based on dividend yield growth effects in the Polish stock market in the years 1994–2004. Results indicate that the dividend yield growth portfolios were capable of beating the market in the entire sample period. Their performance, however, was not consistent over time and the highest returns were obtained during final years. Empirical findings based on the analysis of different types of portfolios demonstrate the importance of dividends as a source of significant fundamental information items from stock market companies. At the same time, they show that a dividend investment strategy for the Polish stock market is most successful when the selection of stocks for the dividend yield growth portfolios is subject to further restrictions, most notably concerning company size.

The Effects of Screening and Monitoring on Credit Rationing of SMEs

In this paper, we seek to empirically assess which determinants of the capability and incentives of banks to screen and monitor firms are significant in explaining credit rationing to Italian SMEs. After testing for the presence of non‐random selection bias and the potential endogeneity of some determinants of interest, the probit model results we obtain suggest that the average banking size and the multiple banking relationship phenomenon are statistically significant factors affecting credit rationing, presumably through their impact on the aforementioned banks' capability and incentives. Other potential determinants of banks' incentives to monitor and screen, such as local banking competition and firm' capacity to collateralize, are never significant. However, when we split the sample according to the level of competition in credit markets, we find that the estimated marginal effects of all significant determinants of interest are larger in absolute value than those obtained when using the whole sample.     

Detecting Some Dynamic Properties of the Euro/Dollar Exchange Rate

Financial prices and returns have been the subject of empirical and theoretical analysis for many years, and their dynamic properties and other characteristics are still of interest. Many different tools have been applied to describe financial markets. The presented paper is addressed to examine the euro/dollar exchange rate and the related financial returns in the context of detecting exact and stochastic unit roots, and in the consequence, modelling them using time varying parameters model. The estimated STUR models are compared with standard ARMA-GARCH representations. We also examine causal relationships in the Granger sense. Upon the results of causality testing, some ADL-GARCH models are built, which are further used to examine their forecasting performance.     

On the Use of the Moving Average Trading Rule to Test for Weak Form Efficiency in Capital Markets

The examination for the possible existence of predictive power in the moving average trading rule has been used extensively to test the hypothesis of weak form market efficiency in capital markets. This work focuses mainly on the study of the variation of the moving average (MA) trading rule performance as a function of the length of the longer MA. Empirical analysis of daily data from NYSE and the Athens Stock Exchange reveal high variability of the performance of the MA trading rule as a function of the MA length and on some occasions the series of successive trading rule total returns is non‐stationary. These findings have direct implications in weak form market efficiency testing. Indeed, given this high variability of the performance of the MA trading rule, by just finding out that trading rules with some specific combinations of MA lengths can or cannot beat the market, as is the case in most of the published work thus far, is not enough evidence for or against the existence of weak form market efficiency. Results also show that on average in about three out of four cases trading rule signals are false, a fact that leaves a lot of space for improved trading rule performance if trading rule signals are combined with other information (e.g. filters, or volume of trade). Finally, some evidence of enhanced trading rule performance for the shorter MA lengths was found. This enhanced performance is partly attributed to the higher probability that a trading rule signal is not a whipsaw, as well as to the larger number of days out‐of‐the‐market which are associated with shorter MA lengths.     

Trading imbalances and the law of one price

We study trading and prices of Chinese (mainland)/Hong Kong dual-listed shares. Relative prices can diverge by a factor of two and exhibit significant variation over time. Order imbalances explain contemporaneous changes in relative prices at daily and weekly frequencies.     

Corporate Governance and Financial Performance of Companies in Poland

The research presented in the paper is aimed at examining the relationship between the level of corporate governance and the financial performance of listed companies in Poland. The corporate governance degree is expressed by the outcomes of a rating of 2003 performed by Polish Corporate Governance Forum. The attempted models are of ordered multinomial type. Endogenous variable represents the rating outcome (A−, B+, B, B−, and C+), while the exogenous variables include various financial indicators evaluated on the basis of the 2002 financial statements. The estimated ordered logit models show that the level of corporate governance of companies in Poland is associated with their ability to cope with the financial distress, as expressed by the degree of liquidity, profitability and the financial leverage variables.     

The nonlinear effects of expected and unexpected components of monetary policy on the dynamics of REIT returns

This paper examines empirically whether the expected and unexpected components of monetary policy have nonlinear impacts on the dynamics of REIT returns. Empirical results find the nonlinear response of REIT returns to expected and unexpected components of monetary policy. The unexpected component of monetary policy plays a more prominent role in influencing REIT returns than does the expected component of monetary policy. Specifically, unexpected contractionary monetary policy has a significantly adverse impact on REIT returns, and the adverse effect in a bust market is stronger than in a boom market. In addition, the unexpected monetary policy will also affect the boom-bust dynamics of REIT returns through its effect on the time-varying transition probability matrix. The tightening of the expected and unexpected components of monetary policy will enhance the probability that the REIT market will stay in the bust regime.     

Small investment and large returns: Terrorism, media and the economy

The study investigates the role of the media in the impact of terrorism on the economy. A unique data set of the newspaper articles that reported terrorist attacks during 2002 is used to evaluate their impact on the Tel Aviv Stock Exchange. An econometric analysis is performed in order to understand how a newspaper decides to cover a terrorist attack, i.e. the number of articles, positioning of articles, whether to include photos and the size of headlines. It was found that media coverage is an important channel through which terrorism produces economic damage. The findings also showed that the economic damage caused by terrorist attacks increases monotonically with the amount of media coverage. It was also found that the economic impact of the media coverage diminishes over time.