Hi everyone,
I am currently working on my thesis, which aims to assess the impact of exchange rate volatility on the financial performance of 50 listed companies over a 10-year period, spanning from 2014 to 2024. The independent variable of interest is exchange rate volatility, while the dependent variables include export net earnings and return on equity. In the course of my research, I have encountered a challenge related to the nature of my data, which is panel data. While the majority of existing literature on exchange rate volatility utilizes the Vector Error Correction Model (VECM), I find it imperative to incorporate the panel data framework into my analysis. However, upon reviewing available regression models for panel data in STATA, I observed that there is no specific provision for VECM. I am reaching out to seek guidance on whether there is a viable approach or methodology to implement VECM for panel data in STATA. Your insights and expertise in this matter would be immensely valuable, and I appreciate any assistance you can provide.
Thank you.
Regards,
Suren
I am currently working on my thesis, which aims to assess the impact of exchange rate volatility on the financial performance of 50 listed companies over a 10-year period, spanning from 2014 to 2024. The independent variable of interest is exchange rate volatility, while the dependent variables include export net earnings and return on equity. In the course of my research, I have encountered a challenge related to the nature of my data, which is panel data. While the majority of existing literature on exchange rate volatility utilizes the Vector Error Correction Model (VECM), I find it imperative to incorporate the panel data framework into my analysis. However, upon reviewing available regression models for panel data in STATA, I observed that there is no specific provision for VECM. I am reaching out to seek guidance on whether there is a viable approach or methodology to implement VECM for panel data in STATA. Your insights and expertise in this matter would be immensely valuable, and I appreciate any assistance you can provide.
Thank you.
Regards,
Suren
