Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Mehmet F. Dicle is active.

Publication


Featured researches published by Mehmet F. Dicle.


Journal of Financial Regulation and Compliance | 2007

Do risk factors matter in the IPO valuation

Khaled Abdou; Mehmet F. Dicle

Purpose - The purpose of this paper is to investigate whether all of the risk factors were priced during the internet bubble period. Design/methodology/approach - A unique hand collected dataset was used from public prospectuses for companies that issued an initial public offering during the internet bubble period. Three hypotheses were proposed: the risk factors mentioned in the prospectus are important for IPO trading and therefore affect IPO underpricing; risk factors affect the IPO deal attributes; and the number of risk factors cited by the issuing firm is affected by direct participants such as venture capitalists and investment bankers. Findings - It was found that hi-tech dummy played a significant role during the bubble period. Moreover, not all risk factors are regarded important, some of them are not significant at all as predicted by first hypothesis. The most striking observation is the negative economic significance of the risk factor no prior market for the traded stock. This reveals that, traders are selective in valuing risks and may value some factors as opportunities and not as risk factors. In addition, the results reveal that risk factors do affect the deal attributes as predicted by our second hypothesis. Also, the pricing of these risk factors are not different between retail and hi-tech companies. Regarding the participants, it was found that venture capitalists and investment bankers have a significant statistical and economic effect on the number of risk factors reported in the prospectus. Originality/value - The paper contributes to the literature by investigating the IPO underpricing phenomenon in the internet bubble period.


Stata Journal | 2012

Estimating Geweke’s (1982) Measure of Instantaneous Feedback

Mehmet F. Dicle; John Levendis

In this article, we describe the gwke82 command, which implements a measure of instantaneous feedback for two time series following Geweke (1982, Journal of the American Statistical Association 77: 304–313). Copyright 2013 by StataCorp LP.


Social Science Research Network | 2017

Increasing Return Response to Changes in Risk

Mehmet F. Dicle

Risk aversion theory is based on individuals’ choice among risky assets with expected utility in its foundation. It is about investor behavior (i.e. investor choice), under normal circumstances, towards assets with various levels of risk. A positive and marginally diminishing relationship between risk and return exists. This study is about investor behavior as it relates to their response (not choice) to risk. We present an argument and supporting evidence that investors’ return response to risk is increasing in level of risk. Thus, investor behavior is subject to change and level of risk is a determinant of such change. We also explain the negative time-series correlation between risk and return.


Quantitative Finance and Economics | 2017

Hedging Market Volatility with Gold

Mehmet F. Dicle; John Levendis

The 2008 financial crisis has refocused investors’ attention to several safe-haven as- sets, most notably gold and US Treasuries. We compare the role of these two assets as safe havens from fluctuations in the indexes of the US’ largest exchanges. We estimate the instantaneous and lagged relationship between the safe-haven assets and volatility in the indexes. Treasuries seem to be the safe-haven of choice from volatility in the US equity markets during the crisis. We find almost no evidence that gold is a “safety asset” from volatility despite public opinion to the contrary.


Journal for Economic Educators | 2013

Using RFID Technology to Track Attendance

Mehmet F. Dicle; John Levendis

The relationship between class attendance and academic performance continues to be of interest. The most common methods of tracking attendance, however, have their shortcomings and biases. We provide researchers with a method to collect unbiased and reliable attendance data. Late arrivals and early departures can also be recorded with ease, allowing researchers to evaluate these behaviors as well. Our method is intended to collect valuable attendance data at a minimal cost of time or money: setup takes 10-20 seconds per student initially, with no time lost subsequently, and the monetary cost is less than 29¢ for each student. An Excel-based version is discussed. Software code is provided, open-source, for instructors to implement.


Stata Journal | 2017

Technical Financial Analysis Tools for Stata

Mehmet F. Dicle; John Levendis

In this article, we provide four financial technical analysis tools: moving averages, Bollinger bands, moving-average convergence divergence, and the relative strength index. The tftools command is used with four subcommands, each referring to a technical analysis tool: bollingerbands, macd, movingaverage, and rsi. We provide examples for each tool. tftools allows researchers to backtest their own investment strategies and will be of interest to investors, researchers, and students of finance.


Social Science Research Network | 2017

US Implied Volatility as a Predictor of International Returns

Mehmet F. Dicle

This study provides evidence of the US implied volatility’s effect on international equity markets’ returns. This evidence has two main implications: i) investors may find that foreign equity returns adjusting to US implied volatility may not provide true diversification benefits, and ii) foreign equity returns may be predicted using US implied volatility. Our sample includes US volatility index (VIX) and major equity indexes in twenty countries for the period between January, 2000 through July, 2017. VIX leads eighteen of the international markets and Granger causes seventeen of the markets after controlling for the S&P-500 index returns and the 2007/2008 US financial crisis. US investors looking to diversify US risk may find that international equities may not provide intended diversification benefits. Our evidence provides support for predictability of international equity returns based on US volatility.


Quantitative Finance and Economics | 2017

US Implied Volatility as A predictor of International Returns

Mehmet F. Dicle

This study provides evidence of the US implied volatility’s e ect on international equitymarkets’ returns. This evidence has two main implications: i) investors may find that foreign equityreturns adjusting to US implied volatility may not provide true diversification benefits, and ii) foreignequity returns may be predicted using US implied volatility. Our sample includes US volatility index(VIX) and major equity indexes in twenty countries for the period between January, 2000 throughJuly, 2017. VIX leads eighteen of the international markets and Granger causes seventeen of themarkets after controlling for the S&P-500 index returns and the 2007/2008 US financial crisis. USinvestors looking to diversify US risk may find that international equities may not provide intendeddiversification benefits. Our evidence provides support for predictability of international equity returnsbased on US volatility.


International Journal of Social Economics | 2017

The sexual orientation wage gap in the USA

Rachel Sayers; John Levendis; Mehmet F. Dicle

Purpose The purpose of this paper is to determine the nature of the wage gap between genders and sexual orientation. Design/methodology/approach The paper uses OLS on pooled repeated cross-sections. Findings The differences in wages between gay/straight men and women mirror what would be expected from labor force attachment more so than direct heterosexism. Research limitations/implications The authors use a functional definition of sexual preference that reflects whether the respondent had sex with someone of the same gender in the same year. It does not ask whether the person identifies publicly as gay/lesbian/bisexual. Originality/value The authors verify and extend earlier findings on the sexual orientation and gendered wage gap.


Social Science Research Network | 2016

The Neighborhood Impact of Airbnb on New Orleans

John Levendis; Mehmet F. Dicle

Rental prices have been increasing throughout the country for the last several years. While New Orleans is no exception to this trend, rental rates have decreased in most area zip codes in the last six months. In the meantime, vacancy rates have been fairly constant at their average rates. In this study, we investigate whether any increases in New Orleans’ rental rates are correlated to Airbnb activity, or whether they are part of overall trends in prices. For each zip code in New Orleans, we investigated whether changes in rental prices are correlated with changes in Airbnb activity, after controlling for regional rental rate changes (outside New Orleans). We were unable to find any scientifically valid evidence that rental rates and Airbnb presence are correlated, and conclude that Airbnb has no discernible impact on rents in any of New Orleans’ zip codes.

Collaboration


Dive into the Mehmet F. Dicle's collaboration.

Top Co-Authors

Avatar

John Levendis

Loyola University New Orleans

View shared research outputs
Top Co-Authors

Avatar

Betul Dicle

Louisiana State University

View shared research outputs
Top Co-Authors

Avatar

M. Kabir Hassan

University of New Orleans

View shared research outputs
Top Co-Authors

Avatar

Ron Christner

Loyola University New Orleans

View shared research outputs
Top Co-Authors

Avatar

Khaled Abdou

Pennsylvania State University

View shared research outputs
Top Co-Authors

Avatar

Lee J. Yao

Loyola University New Orleans

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge