# Introduction This project is powered by scientific work "Forecasting macroeconomic effects of stablecoin adoption: A Bayesian approach" by Perper Team, which analyzes the effect of tablecoin adoption on key macroeconomic factors in Montenegro. The main explanation for the adoption of stablecoins is their one-to-one peg to various currencies and commodities. Previous studies have relied on the relationships among cryptocurrencies and thus could not disentangle the country-level macroeconomic effects of stablecoins from the effects of other cryptocurrencies. Using data from January 2006 to December 2019, we decompose the correlation between cryptocurrencies and their effects on the economy due to (a) shocks to stablecoins and (b) shocks to Bitcoin. Contrary to assumptions, stablecoins do not maintain their peg in “crash times” but do promote economic growth. Bitcoin's volatility deanchors investor expectations, disrupts markets, and destabilizes key macroeconomic factors. Our novel findings indicate that stablecoin adoption should not be based only on a one-to-one assumption and reveal the mechanism of key gaps by a prudential authority. {% embed url="" %} Regulatory Backing: The Perper stablecoin platform has been granted access to Montenegro's regulatory framework for financial innovations, following the approval of the Capital Market Commission of Montenegro under the Capital Market Law. This integration into the regulatory SANDBOX, distinguished by approval number 05/12-792/6-23 dated December 29, 2023, represents a commitment to innovation and regulatory compliance in the digital financial sector. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://perper-net-project.gitbook.io/perper.net/introduction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.