No abstract

Trading is a temporal (i.e. time-based) historical living system with a number of functions, like: Initial Public Offerings (IPO), Seasoned Equity Offerings (SEO), stock (instrument) price action Gaps, Breakouts, etc. In this domain, a number of warning dynamics timing functionalities is available, like: On Open Gup-Ups (ooGUp), On Open Gup-Downs (ooGDn), Morning Breakouts (mB), etc. All these time-based functionalities are regarded as 2 nd level functions (i.e. functions of functions; because of the timing involved) with great trading opportunities, and they are defined-for the first time in the corporate finance literature-by this paper as Temporal (timing) Trading Functionalities (TTF). In particular, the IPOs with the embedded TTF functionalities are great trading opportunities for the institutions, the individual (noncommercial) market investors, the swing traders, and the speculators. Data analysis shows that during the seasoned equity offerings time, shareowners significantly increase their share share-holding, including offerings that would be classified as overpriced at that time; hence, the involved trading volatility is increased resulting in great trading and profit opportunities. This paper contributes to corporate finance literature by examining the IPOs functions and define and document their inherit TTF functionalities. For this purpose, four categories of shareholders are regarded: The longterm institution and non-commercial traders (investors), the swing momentary institution traders (institutions), the shortterm non-commercial traders (speculators) and the intraday non-commercial traders (speculators). Paper concludes that, in IPO/TTF trading, the swing traders(institutions), incorporating in their trading strategies the short-term TTF functionalities, are benefit at the expense of momentary and intraday speculators, while the long-term investors are not affected by the IPO offerings.

<p>The main goal of this paper is to approach the Seasoned Equity Offerings (SEO) trading opportunities as technical market anomalies and under the prism of a number of temporal (time-based) long-term trading functionalities (long-term TTF) introduced for the first time in corporate finance literature. The long-term is defined, for the purposes of this paper, as the 3-year time period, traded usually with daily, weekly and monthly time-frames. Trading is a temporal (i.e. time-based) historical living system with a number of functions, like: SEO, IPO, stock (instrument) price action Gaps, Breakouts, etc. In this domain, a number of warning long-term and short-term dynamics timing functionalities is available, like: candlestick patterns breaks, price action patterns pivotal-lines breaks, on open gup-ups (ooGUp), on open gup-downs (ooGDn), morning breakouts (mB), etc. All these time-based functionalities are regarded as 2^nd level functions (i.e. functions of functions; because of the timing involved) with great trading opportunities, and they are defined –for the first time in the corporate finance literature- by this paper as temporal (timing) trading functionalities. In particular, the SEOs with the embedded long-term TTF functionalities are great trading opportunities for the institutions, the individual (non-commercial) market investors, the swing traders, and the speculators. Data analysis shows that during the seasoned equity offerings time, shareowners significantly increase their share-holding, including offerings that would be classified as overpriced at that time; hence, the involved trading volatility is increased resulting in great trading and profit opportunities. This paper contributes to corporate finance literature by examining the SEOs functions and define and document their inherit TTF functionalities. For this purpose, four categories of share-holders are regarded: The long-term institution &amp; non-commercial traders (investors), the swing momentary institution traders (institutions), the short-term non-commercial traders (speculators) and the intraday non-commercial traders (speculators). Paper concludes that, in SEO/long-term TTF trading, apart from the insiders, the swing traders (usually the smart-money and the institutions) are more benefited, at the expense of momentary short-term and intraday speculators, while the long-term investors are not affected by the SEO offerings.</p>

No abstract

In investment and trading, different CSR/CSE (Corporate Social Responsibility/Corporate Social Entrepreneurship) moral ethical firms, categorized in a number of groups, may be suitable for different financial instruments (i.e. USA sector ETFs) and different market volatility situations. For the purpose of this article we first (i) analyze the trading return performance of four CSR/CSE categories (in particular: green building, green products, green services, and green transportation); and then (ii) examine and comment the correlation between the market performance of a number of firms belonging in these four CSR/CSE categories and historical ETF market volatility. Finally, we (iii) suggest CSR firms as trading tools according to dominant market volatility. Other CSR/CSE categories (like: sustainability, executive sustainability, renewable energy, green IT, green ICT, etc.) would be examined in future research by following the introduced by this paper approach. Paper concludes that, in relatively less volatile markets the Green Transportation CSR/CSE ethical firms display better results. On the other hand, in strong market volatile situations it is better to trade Green Products CSR/CSE and Green Services CSR/CSE ethical firms. Finally, the Green Building CSR/CSE ethical firms are uncorrelated with the market volatility, as well as their performance is poor in all market cases.