Managerial Finance

The purpose of this study is to define FinTech, differentiating it from financial technology and use the definition to develop an industry framework.

Using the existing literature on FinTech and incorporating these contributions into a traditional financial structure, characteristics are outlined and placed into a framework that describes the FinTech industry.

FinTech is a specific type of Financial Technology, defined as technology used to provide financial markets a financial product or financial service, characterized by sophisticated technology relative to existing technology in that market. Firms that primarily use FinTech are classified as FinTech firms. Using these definitions, the paper provides a structure for the FinTech industry, classifying each type of FinTech firm by FinTech characteristics.

Research that would inform the economic importance of FinTech would be served with an increased understanding of FinTech firms and the FinTech industry.

This paper contributes by defining FinTech and developing a comprehensive framework to describe the emerging FinTech industry.

The paper aims to investigate the monthly and trading month effects in the stock market returns of the ASE using daily data before and after the crisis of 1999‐2001. In addition, the study seeks to consider data from both periods of the ASE, before and after the upgrade of the market (May 2001).

This paper examines the calendar effects in the Greek stock market returns using an ordinary least squares (OLS) model. Daily closing prices of the General ASE Index, FTSE/ASE‐20 and FTSE/ASE Mid 40 are used to calculate daily returns. The time period includes data from 26 November 1996 to 12 July 2002 for General ASE Index, 23 September 1997‐30 August 2001 for FTSE/ASE‐20 and 8 December 1999‐30 August 2001 for FTSE/ASE Mid 40.

The results show that there is no January effect. In other words, daily returns are not higher in January than in any other month. Moreover, the results for the trading month effect show higher (but not significant) returns over the first fortnight of the month.

The results have important implications for both traders and investors. The findings are strongly recommended to financial managers dealing with Greek stock indices.

The contribution of this paper is to provide evidence using data before and after the financial crisis of 1999‐2001 in Greece.

The purpose of this paper is to investigate the impact of the key sources of information, namely, financial advice, word-of-mouth communication and specialized press, on trading behavior of Chinese stock investors. The study also analyzed if the association between the key sources of information and trading behavior is influenced by investor personality.

The authors adopted the Big Five personality framework and examined the survey results of individual stock investors (n=541) in China. Personality traits of investors were measured by the NEO-Five Factor Inventory (Costa and McCrae, 1989). The authors performed probit regression analysis to evaluate the moderating influence of investor personality traits on the association between sources of information and stock trading behavior.

The results of the study confirm the previous findings that the key sources of information used by investors as a foundation of their financial choices have a significant influence on their trading behavior. The study also provides empirical evidence that investor personality traits moderate the relationship between the key sources of information and trading behavior. Financial advisors tend to increase the frequency of trading in investors with openness, extraversion, neuroticism and agreeableness personality traits, and tend to decrease the intensity of trading in investors with conscientiousness trait. On the other hand, financial information acquired from word-of-mouth communication is more likely to enhance trading frequency in extraverted and agreeable investors, and is more likely to reduce trading frequency in investors with openness, conscientiousness and neuroticism traits. Finally, the use of specialized press leads to more adjustment in portfolios of the investors with openness and conscientiousness traits than those with other personality traits. An alternative mediated model was not supported.

This research contributes to information search literature and behavioral finance literature and provides empirical evidence that the psychological characteristics of investors are significant predictors of the variations in information-trading link. The study offers new theoretical insights of investors’ behavior due to the characteristics of Chinese stock market which are unique from other stock markets in the world. To the authors’ best knowledge, no previous study has been conducted so far in Chinese stock market to explore variations with regards to the impact of the key sources of information on trading behavior by the Big Five investor personality and this paper seeks to fill this gap.

This paper aims to examine the impact on executive compensation (both cash and in total) of regulation, size of sales and number of employees, and nature of the business in terms of new‐economy vs traditional.

This study uses the ExecuComp database as the information source. Regression analysis is used to test hypotheses that focus on firm size in terms of sales, market and accounting returns, and the number of firm employees. The sample consists of 455 US firms from 25 industries, and covers the period 1996‐2002.

Firm size and market‐based return are the most significant explanatory variables in affecting executive compensation. More limited support was found for accounting‐based returns, as was changes in the number of employees.

Findings of this study may be limited by the temporal context. Around the turn of this century may have been an unusual time in America's corporate history. The economic outlook of the late 1990s may be fundamentally different from the one facing firms now or in the future. Consequently, future research will be needed to determine to what extent these results can be generalized to periods of different economic prospects.

This study examines the impact of firms' operational characteristic on Chief Executive Officer (CEO) compensation.

The purpose of this paper is to provide a comprehensive initial evaluation of the changing issuer objective and partial price adjustment hypotheses as applied to carve‐out parent initial and three‐year returns for the period 1988‐2006.

Using five primary variables: the percentage of the subsidiary retained by the parent, the ratio of offering size to parent market capitalization, filing range adjustments, the percentage of the offering used to retire subsidiary debt or to pay dividends, and the CBOE volatility index to predict initial and three‐year returns, the paper shows that ex ante variables can predict carve‐out parent initial and three‐year returns.

The paper shows that public information known prior to the offer date influences 7.52 percent of the variation in announcement, 5.57‐38.31 percent of the variation in ex‐date and 6 percent of the variation in three‐year market‐adjusted equity carve‐out parent returns.

This study makes several contributions to the literature. Although prior studies focus on ex post determinants of equity carve‐out returns, this study is the first to explore ex ante predictors of equity carve‐out parent returns. The implications of these results are that publicly available information known prior to the carve‐out offering date can influence market‐adjusted initial and three‐year parent carve‐out returns and can explain 6‐17 percent of the variation.