Tensor Bridge Invest deploys advanced economic and financial models to conduct a thorough assessment of investment value and risk. Our models utilize cutting-edge techniques from the fields of Economics, Mathematics, and Artificial Intelligence (AI) to analyze a broad range of economic, financial, and value creation activities. These models are unique to our company and draw on original research, offering a level of insight that is not typically found in the academic or financial sectors.
Intangible Value Estimation
Intangible Value refers to the value of assets that cannot be physically touched or seen, such as intellectual property, goodwill, brand recognition, and customer relationships. These intangible assets are becoming increasingly important in today's economy, and advancements in AI technologies such as Large Language Models and AI media processing are expected to further enhance their value growth.
The value of a company's intangible assets is an essential indicator of its future revenues, M&A potential, and R&D strength.
At Tensor Bridge Invest, we have extensive experience in evaluating certain intangible assets related to technology, patents, and information value. Our expertise enables us to help clients identify and leverage intangible assets to drive business growth and increase shareholder value.
Portfolio Risk Estimation
Stock risks are typically classified as systematic or unsystematic. These categories are often quantified using descriptive statistical measures based on standard deviation - a second statistical moment. However, at Tensor Bridge Invest, we utilize inferential statistics and sequential machine learning techniques to enhance the quantification of risks. By leveraging a broader range of information that influences changes in asset prices, we aim to provide a more accurate and comprehensive assessment of the risks associated with investment strategies.
Economic and Financial Models
Economics and financial institutions rely on a range of models to make predictions, run simulations, and create narratives. However, it's important to note that the performance of these models can vary widely. While some models may provide highly accurate predictions, others may be less reliable due to their complex, non-uniform nature. Despite these limitations, economic and financial models continue to play a critical role in guiding decision-making and informing policy in these fields. To address these and some other modeling challenges, Tensor Bridge Invest uses mathematical optimizations over a larger space of model structures with an AI-based statistical attention search mechanism.
