ABSTRACT
A more robust approach to financial valuations and forecasts consists of a combination of quantitative and qualitative analytical methods. Another method that may play an important role in a modern approach to financial valuation and forecast models is a corpus analysis of stance/sentiment. Currently, corpus analysis of stance/sentiment is used by consulting and financial companies to assess consumer stance/sentiment toward products and employee stance/sentiment toward executive leadership. Stance/sentiment in natural language has been explored by applied linguists from both diachronic and synchronic perspectives. The focal analysis uses a comparative design to understand the role of stance/sentiment in the valuation and forecasting of cryptocurrency exchange values. The baseline for the comparison was the daily average exchange rate for bitcoin (averaged from the daily market open and close rates) obtained from Coinbase, the cryptocurrency exchange market headquartered in San Francisco, California. Computer programs were specially developed for this focal analysis to automate corpus building, file cleaning, and linguistic analysis.
