About

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giorgi.chavchanidze@edhec.edu LinkedIn

I am a Doctoral Researcher in (Mathematical) Finance and a Teaching Assistant at EDHEC. I hold BA Summa Cum Laude in Mathematics and Economics from the American University in Bulgaria and with Disciplinary Honors in both majors. I also hold double MA in Economics and Economic Research from CERGE-EI and MS in Quantitative Finance from Boston College. The Master's degrees correspond to five fully-funded years I spent across two PhD programs in Economics (CERGE-EI) and Finance (Boston College).

My research interests revolve around using advanced mathematics for understanding financial phenomena and solving financial problems. I find research most exciting when it involves ambitious theoretical work with potential for useful real-life applications.

As part of my ongoing work, I am developing a new asset pricing framework that provides novel tools for valuing assets, managing risk, and understanding puzzling market behavior.

View CV About the Institutions

Asset Price Equation with Subjective
Regime Beliefs

$$ P_{t}=\frac{\tilde{D}_{t}}{\delta_{\tilde{D},t}}+\frac{e_{t}}{\delta_{e,t}},$$ $ \textit{where for } j=\tilde{D},e,$ $$ \delta_{j,t}\equiv\left(\sum_{p=1}^{N_{par}}\frac{w_{j,t}\left(p\right)}{\delta_{j,t}\left(p\right)}\right)^{-1} $$ $ \textit{and} $ $$ \sum_{p=1}^{N_{par}}w_{j,t}\left(p\right)=1, $$ $$\delta_{j,t}\left(p\right)=r_{j,t}\left(p\right)-\mu_{j,t}\left(p\right), $$ $$ r_{j,t}\left(p\right)=F_{j,t}\left(p\right)r_{R_{1},j}+\left(1-F_{j,t}\left(p\right)\right)r_{R_{2},j}, $$ $$ \mu_{j,t}\left(p\right)=F_{j,t}\left(p\right)\mu_{R_{1},j}+\left(1-F_{j,t}\left(p\right)\right)\mu_{R_{2},j}. $$
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Research Statement

Description of research agenda, philosophy and areas of interest

Research Papers

Abstracts and manuscripts of research papers

Teaching

Courses offerings I have assisted in and teaching philosophy

Probability for Quantitative Interviews

Novel resource for Quant interview and assessments prep

Exam Grading System

Combined use of Excel, R and LaTeX for easier, faster and more transparent grading