Projects Asset Management
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Risk Management and Analysis Tool for Lease-to-Purchase Homeownership
In this project, a forecasting software tool for fair lease-to-purchase transactions is designed. It analyzes the value development of specific real estate properties in various regions. The tool simulates rent price calculations and conducts statistical evaluations, enabling both standardized and property-specific ...
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Open Strategy and Commitment – Empirical Study
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Decision Based Tools for the Climate Resilience of Real Estate
This project addresses the need for effective strategies in adapting real estate (RE) to climate impacts and enhancing building resilience, while also considering sustainability factors. It involves developing models to optimize the Net Present Value (NPV) of buildings and RE portfolios. The focus is on identifying ...
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Climate Rating for Real Estate Portfolios
To address climate and regulatory challenges for Swiss Pension and Real Estate funds, this project aims to create transparent, technology- and data-driven methods for evaluating Swiss Real Estate assets in terms of obsolescence, carbon emissions (current and forward-looking), and energy efficiency using large data ...
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Satellite and Network-Analysis based Climate Impact Measurement Tool for Real Estate
The project aims to create a set of science-based methods to systematically translate acute and chronic physical risk scenarios into the (de-)valuation of buildings over time based on building characteristics (material, roof coverage, etc.), geographic location and risk level. This will allow companies to develop ...
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BioVaR – Assessing and Digitizing Risk Exposure Resulting from Biodiversity Loss
We propose a fully digital, science-based solution that can provide forward-looking guidance for companies regarding the financial risks associated with biodiversity loss. We intend to communicate understandable risk metrics using User Interface to a biodiversity-committed network of stakeholders. ...
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Spatial sustainable finance: Satellite-based ratings of company footprints in biodiversity and water
We develop and adopt geoprocessing workflows to analyze and model the spatial footprints of companies representing company venues, production sites, or in general areas where companies are active. We combine the spatial environmental assessments with LCA methods to transform non-spatialized into spatialized ...
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Investor and Stakeholder Tools for Tracking Companies’ Climate Commitments, Greenwashing and ESG Trends
In this project, we are developing science-based methods to systematically identify potential greenwashing in corporate communications as well as signals of green innovations and technologies. By applying advanced AI methods to thousands of stocks, we aim to develop novel, ESG-compliant financial products. ...
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Enabling risk management with decentralized exchange-traded derivatives
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ERREP - ESG Rating for Real Estate Portfolios
The challenge of this project is to extend ESG ratings from portfolios with liquid assets to illiquid assets. In the case of illiquid assets such as real estate the assets can't easily be replaced and a dynamic adjustment strategy is required. To this end, we intend to develop benchmarks with which real estate can ...
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Development of Customizable ESG-compliant Financial Products for Swiss Asset Owners and Managers
Development of forward-looking ESG-compliant methods for systematic strategies on equities, corporate bonds, sovereign bonds, responsible shorting, and option overlays.
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Prognostic Scoring of Innovations in Green-Tech patent clusters using Natural Language Processing
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Employing Natural Language Processing to identify inconsistencies in companies’ non-financial communication
NLP &ML tools for Swiss asset managers and owners for identifying inconsistencies in companies’ financial and non-financial communication
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Tech4SDG – Guiding Swiss Asset Managers towards High-Impact SMEs
High-impact, social SMEs remain broadly unknown to impact investors and asset managers due to limited information and identification problems. To overcome the asymmetry of information and provide reliable guidance to Swiss asset managers, we aim to create an automated big data platform for the identification, ...
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Environmental and Social Assessment at Mine Sites using Remote Sensing and Geoinformatics
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Strengthening Swiss Financial SMEs through Applicable Reinforcement Learning
Over the last few years, Reinforcement Learning (RL) has gained significant attention as a framework for learning optimal decisions even in complex environments. Moreover, RL is currently considered one of the most promising research areas in machine learning and has already demonstrated immense potential for ...
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Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management
For Switzerland, the reputation of stable long-standing financial institutions has always represented a crucial advantage for the acquisition and retention of customers. However, as the financial service industry becomes more global, clients expect personalized offerings and inclusiveness of service which in turn ...
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Advanced/AI-supported Rating Models for P2P systems
Our innovative idea is to provide a Proof of Concept concerning a superior and adaptive rating system applicable to both SME and personal lending, able to cope with low-quality, sparse data that is commonplace in the context of P2P lenders. If successful, we will have both a new methodology (how to deal with ...
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Feeder Structure for the Swiss Social Exchange
Matching impact investors with vetted and investable impact deals (SDG firms), through a regulated liquid primary and secondary financing market, presents a significant opportunity for SWISOX to become a “one-stop-shop” for impact investors. The research goal is to develop the necessary tools for a robust pipeline ...
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ESG 4.0 – Enabling Sustainable and Responsible Investment leveraging AI and Big Data
The identification of optimal Sustainable Investing strategies is still hampered by a profusion of technical and methodological challenges. We propose to utilize patent data and AI to boost Green Finance to a new level of efficiency in mitigating global threats as climate change, and pollution. ...