Arthena

ing on the luxury market. Arthena has designed and built a statistically rigorous model that estimates the value of artwork over time. Since the data we obtain derives from auction records and repeat sales, our model relies on a set of features about each result. These features include include the artist’s name, medium, date of creation, origin of location and size of work. After identifying groups of work that are similar to each other, we calculate the expected ROI and estimated volatility based on the distribution of gains. Using historical auction results to simulate the performance of our funds, we leverage Monte Carlo analysis to determine annualized returns and sharpe ratios. Based on this analysis, Arthena can validate the financial viability of our product and establish statistically rigorous bounds for these estimates.