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This cookie is used to display dynamic phone numbers online based on the traffic source of the visitor for analytics.
These cookies are set through our site by our analytic and marketing partners. They may be used by those companies to build a profile of your interests so we can provide the best possible user experience for you through our website and marketing campaigns. They work by uniquely identifying your browser, operating system, IP and location.
Cookies usedGoogle Tag Manager
By default, our tag manager code is set up to track page views using the Google's IP Anonymization feature turned on. Also, all the cookies that are set up from Google by default, are set up to expire after the browsing session ends. Turning on this cookie type, will tell Google that the full IP can be used to track your behavior on our website.
_tgmanonymous
If set to 1, will tell google that it can track the full IP and it will set up it's cookies to expire in 365 days, not 0 days as set up by default.
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Conversion linker cookie which persists Google Ads information in a first party cookie when the user lands on the site from an ad.
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Cookie holds a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement.
_fbp
When the Facebook pixel is installed on a website, and the pixel uses first-party cookies, the pixel automatically saves a unique identifier to an _fbp cookie for the website domain if one does not already exist.
_fbc
When a user clicks on an ad on Facebook, the link sometimes includes a fbclid query parameter. When the user lands on the target website, if the website has a Facebook pixel that uses first-party cookies, the pixel automatically saves the fbclid query parameter to an _fbc cookie for that website domain.
The LinkedIn Insight Tag is a piece of lightweight JavaScript code that you can add to your website to enable in-depth campaign reporting and unlock valuable insights about your website visitors.
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Marius Mihai
Assistant Professor - Economics and Finance
Field(s) of Expertise
Empirical Asset Pricing, Investments, Behavioral Finance
Background
Dr. Mihai is an Assistant Professor of Economics and Finance in Boler School of Business at John Carroll University. Prior to joining the faculty at John Carroll, Dr. Mihai held positions as an Assistant Professor at Widener University, Lecturer at CUNY Baruch College and Yeshiva University, and Quantitative Research Fellow at CUNY Baruch College, among others. In industry, Dr. Mihai had roles as an investment banking analyst and quantitative modeler for various financial institutions in the United States. Dr. Mihai obtained a Ph.D. and M.A. in Economics with a concentration in Finance from City University of New York (CUNY)-Graduate Center and Baruch College, and a B.S. in Finance from The University of New Orleans.
Courses
Dr. Mihai’s teaching interests include macroeconomics, investments, financial economics, financial econometrics, international economics, and international finance.
Research
Dr. Mihai’s research covers a variety of topics in empirical asset pricing, macro-finance, applied macro, international economics, international finance, and banking. His work has been published in the Journal of Corporate Finance, Journal of Forecasting and Quarterly Review of Economics and Finance.