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It is generally recognised that companies spend approximately 50% of their marketing budget on promotional activities. Advertising belongs to the most visible areas of a company’s activity. Therefore, it should not be surprising that the average recipient associates marketing with advertising, competitions and leaflets about new promotions delivered to houses or offices. Advertising, especially Internet advertising, is one of the most effective forms of marketing and one of the fastest developing areas of business. New channels of communication are emerging all the time – the Internet, digital television, mobile telephony; accompanied by new forms, such as the so-called ambient media. Advertising benefits from the achievements of many fields of science, that is, psychology, sociology, statistics, medicine and economics. At the same time, it combines science and the arts – it requires both knowledge and intuition. Contemporary advertising has different forms and areas of activity; yet it is always closely linked with the operations of a company – it is a form of marketing communication.

The indices of marketing communication presented in this chapter are generally known and used not only by advertising agencies but also by the marketing departments of many organisations. Brand awareness, advertising scope and frequency, the penetration index or the response rate belong to the most widely used indices; others, like the conversion rate or the affinity index, will get increasingly more significant along with the process of professionalisation of the environment of marketing specialists in Poland and with increased pressure on measuring marketing activities. Marketing indices are used for not only planning activities, but also their evaluation; some of them, such as telemarketing, mailing and coupons, provide an extensive array of possibilities of performance evaluation.

Using S&P 500 additions, the purpose of this paper is to test the permanence of abnormal returns around the index inclusion announcement and effective implementation dates to differentiate among competing explanations for the index inclusion premia puzzle.

The event study methodology is used to examine abnormal returns and volume effects around the announcement dates (ADs) and implementation dates of index additions.

This study documents a twofold increase in trading volume and significant permanent abnormal returns at the ADs that are correlated with subsequent decreases in bid‐ask spreads. There is a fivefold increase in trading volume, but only temporary abnormal returns, around the effective dates (EDs). Taken collectively, the evidence indicates that the permanent return at announcement is best explained by liquidity/information cost explanation, but the temporary return and large trading increases at the ED can best be attributed to the price pressure hypothesis.

These results do not support the well documented long‐run downward‐sloping demand curve as the primary explanation for the abnormal returns observed on these dates.

This study contributes to the body of literature on the index inclusion effect by providing supporting evidence for the liquidity/information cost explanation, and by extending the previously analyzed index additions with an additional five‐year period from 2000‐2004.

The purpose of this paper is to test the long-term effects of price and volume with the help of Downward Sloping Demand Curve (DSDC) hypothesis, and also the short-term price and volume effects with the help of Price Pressure Hypothesis (PPH) for the index revisions on the S&P CNX Nifty 50 index.

In order to report the long-term and short-term effects, the current study reviews two testable hypotheses, namely, DSDC hypothesis and PPH. The study has used the event study approach by including GARCH (1, 1) conditional variance in the market model.

The results report that, the added stocks experienced a significant increase in price and volume on the effective date; whereas the deleted stocks experienced significant volume levels and insignificant price levels on the effective date. Accordingly, the study finds support in favor of PPH.

The study could not find evidence to support the most studied DSDC hypothesis.

Index reorganization presumably affects the fund managers, domestic as well as international investors. As a result, studying the effect of index changes is a subject of attention to academicians and investors alike.

The study contributes to the body of knowledge on index inclusion and exclusion effects by providing Indian evidence on long-term and short-term price and volume effects, and also documenting contrary results to the previous Indian and global research works.

Entering and exiting the Pandemic Recession, the author study the high-frequency real-activity signals provided by a leading nowcast, the ADS Index of Business Conditions produced and released in real time by the Federal Reserve Bank of Philadelphia. The author tracks the evolution of real-time vintage beliefs and compares them to a later-vintage chronology. Real-time ADS plunges and then swings as its underlying economic indicators swing, but the ADS paths quickly converge to indicate a return to brisk positive growth by mid-May. The author shows, moreover, that the daily real-activity path was highly correlated with the daily COVID-19 cases. Finally, the author provides a comparative assessment of the real-time ADS signals provided when exiting the Great Recession.

The expected growth of China's cotton imports along with Egypt's quest for penetrating new cotton importing markets have together attracted the authors to investigate the competitiveness and the demand for Egyptian cotton in the Chinese market in order to capture the emerging opportunities that Egypt could gain from such a growing market. The paper aims to discuss these issues

The paper employs Balassa's index of revealed comparative advantage and Vollrath's indices of revealed competitive advantage in order to measure the competitiveness of Egyptian cotton exports. An Almost Ideal Demand System (AIDS) approach was then used to estimate demand parameters for Chinese cotton imports from Egypt and major supply sources during the period 1992-2011.

Results show that Egypt has experienced dramatic declines in its cotton comparative advantage over the analyzed period. The estimation results of the AIDS model indicate that Egypt's market share is positively affected by both own and US export prices, but negatively influenced by export prices of other competitors in the Chinese market. Results also indicate that Egyptian cotton is substitutable for cotton imports from all other regions, especially for US cotton. Moreover, additional Chinese expenditure on cotton imports would favor other suppliers. Finally, demand for Egyptian cotton was found to be more sensitive to price changes and there is a greater tendency for China to switch to Egyptian cotton than the other way around should relative prices change.

This paper is original and novel in that; despite numerous studies have been done on China's demand for cotton and the several studies have been carried out on export and marketing of Egypt's cotton, the issue of cotton trade between Egypt and China has rarely been empirically examined. Furthermore, our results update important parameter estimates, particularly import demand elasticities of cotton. For Egypt, the study provides useful policy implications that could help policy makers to improve informed decision making with regard topromoting cotton exports to the Chinese market. For China, the study helps understanding the interrelationship between the Chinese cotton market and other emerging exporting markets, while focusing on the Egyptian market.

Automated flow line manufacturing systems are becoming more and more relevant in industry, especially in the food and beverage sector. Improving the efficiency of automated flow line manufacturing systems is the core objectives of all companies as measured by the overall equipment effectiveness (OEE) index. The purpose of this paper is to carry out an innovative micro downtime data collection and statistical analysis in the food and beverage sector; it introduces a numerical indicator called “Cost Performance Indicator-CPI” to estimate the performance improvement of investment activities. Moreover this analysis will be used as a basis to carry out a new simulative model to study micro downtime of automatic production lines. In addition, the presented micro downtime data collection and statistical analysis will be used to construct a new simulative model to support improvement activities.

Descriptive and statistical analyses are carried out about OEE, time to repair (TTR) and time to failure (TTF) data. The least efficient production line is identified and principal causes of inefficiency are investigated. Micro downtime (downtime lower than 15 minutes) covers 57 percent of inefficiency. Investigations are carried out into the three principal machines affected by this inefficiency. The study then investigates the causes of micro downtime of these machines using ad hoc data collection and analysis. The probability distributions of TTF and TTR are evaluated and an analysis of micro downtime causes and a cause-effect is carried out. The most attractive investment in terms of recoverable OEE (1.44 percent) and costs is analyzed through the calculation of a CPI. One of the conclusions is to recommend the introduction of a payback period with a variable contribution margin.

This study get the basis for the construction of a new simulative model based on ad hoc micro downtime probability distributions, applied in automated flow line manufacturing systems. It gives an effort to downtime analysis in automated production lines and a guideline for future analysis. Results of this study can be generalized and extended to other similar cases, in order to study similar micro downtime inefficiency of other production lines. The statistical analysis developed could also potentially be used to further investigate the relationship between the reliability of specific machines and that of the entire line.

The case study presents a new detailed micro downtime data collection and statistical analysis in the beverage sector with the application of a numerical indicator, the CPI, in order to drive future actions. In addition, the presented micro downtime data collection and statistical analysis will be used to construct a new simulative model to support improvement activities. Moreover, results can be generalized and used as a basis for other micro downtime analyses involving the main causes of inefficiency in automated production lines.

A growing number of studies indicate that the export growth of China’s textiles poses serious threats to many developing countries. The purpose of this paper is to empirically measure the extent to which the export growth of Chinese textiles has come at the expense of Egyptian textiles exports in third importing markets.

To measure this effect, an augmented gravity model equation was estimated using annual data covering the period 1994-2012 on Egyptian and Chinese textile exports to traditional importers of Egyptian textiles.

The empirical results suggest that Egyptian textiles are vulnerable to competitive threat posed by China, especially in the EU and US markets. In contact, Egyptian textile exports have moved hand-in-hand with Chinese textile exports to Asian markets. Moreover, the results suggest that the expiration of the Multi-fiber Agreement in 2005 has exposed Egyptian textile exports to fierce completion with China and resulted in declines in Egypt’s textile exports to the world. However, the trade agreements that Egypt signed with the world countries have given Egypt a competitive edge in major importing regions and mitigated the negative impacts of China in the post-2005 period. Finally, the paper argues that unless Egypt adjusts and develops its textile sector in response to such heightened competition from China, Egyptian textile exports undoubtedly would further be negatively impacted.

In this study, Egypt’s textile products are aggregated to one group and analyzed as a whole, “textile exports.” Further research using a more disaggregated level of data would offer deeper insights into the impacts of China on Egyptian textile exports.

The contribution of this paper is twofold: first, it adds to the growing literature aiming to understand the impacts of China’s growth on developing countries exports by providing a case study of Egyptian textile export sector. Second, the policy implications drawn from this paper could be useful to Egyptian policy makers and stakeholders to address and respond to the competitiveness challenges posed by China to the Egyptian textile industry.

National cultures significantly explain cross-country differences in the relation between asset growth and stock returns. Motivated by the notion that managers in individualistic and low uncertainty-avoiding cultures have a higher tendency to overinvest, this study aims to show that the negative relation between asset growth and stock returns is stronger in countries with such cultural features. Once the researchers control for cultural dimensions, proxies associated with the q-theory, limits-to-arbitrage, corporate governance, investor protection and accounting quality provide no incremental power for the relation between asset growth and stock returns across countries. Evidence of this study highlights the importance of the overinvestment hypothesis in explaining the asset growth anomaly around the world.

The purpose of this paper is to propose a novel and new direct measurement of small investor sentiment in the equity market. The sentiment is based on the individual investors’ internet search activity.

The author measures unexpected changes in the small investor sentiment with AR (1) process, where the residuals capture the unexpected changes in small investor sentiment. The author employs vector autoregressive, Granger causality and linear regression models to estimate the association between the unexpected changes in small investor sentiment and future equity market returns.

An unexpected increase in the search popularity of the term bear market is negatively associated with the following week’s equity market returns. An unexpected increase in the spread (the difference in popularities between a bull market and a bear market) is positively associated with the following week’s equity market returns. The author finds that these effects are stronger for small-sized companies.

By author’s knowledge, the paper is the first that measures the small investor sentiment that is based on the internet search activity for keywords used in the American Association of Individual Investor’s (AAII) survey questions. The paper proposes an alternative small investor sentiment measure that captures the changes in small investor sentiment in more timely fashion than the AAII survey.