Geomantic culture, deeply rooted in China's rich traditions, stands out as one of the most captivating and mysterious aspects of the country's heritage. In thousands of years, this enigmatic blend of metaphysics and geomancy has significantly shaped the lives of the Chinese people. Its historical success in predicting and judging risks has made it a valuable tool for investors in the field of real estate. In this case, research on the influence of risks of metaphysics and geomancy becomes necessarily important to facilitate investors to own relatively feasible tools when participating in economic activities. In this dissertation, I collect property transaction data in a district of city of Beijing in China in August 2023, and examine how various geomantic characteristics affect property prices. I identify sixteen indicators of geomantic factors, among which four are variables of community characteristics (location, shape, main entrance and road), four are building characteristics (position, orientation, floor and house number), and eight are internal characteristics of residences (house type, layout, daylighting, ventilation, color scheme, five elements, door and window). Quantification of these 16 characteristic variables can be divided as quantitative quantification and qualitative quantification, and the method to quantify indicators in accordance with the actual situation is an innovative content of indicator quantification of this paper. Employing multiple linear regressions, I find that 10 out of the 16 characteristic variables, including location, shape, main entrance, road, position, orientation, floor, house number, house type, and layout, are significantly related to property prices. I also compare the strength of the effect of each geomantic characteristic variable on property prices through standardized regression. Community location of the property has the greatest influence on prices. a building's position is at the second most important factor. House number and layout seem having the least effect on property transaction prices. My research suggests that homeowners in China care about the geomantic characteristics of their property, hence are willing to pay a higher price for more favorable geomantic characteristics. This study also offers useful guidance for real estate developers how to maximize profits through improving geomantic characteristics of their property development. / Global Finance