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Full-Text Articles in Business
An Ai Approach To Measuring Financial Risk, Lining Yu, Wolfgang Karl Hardle, Lukas Borke, Thijs Benschop
An Ai Approach To Measuring Financial Risk, Lining Yu, Wolfgang Karl Hardle, Lukas Borke, Thijs Benschop
Sim Kee Boon Institute for Financial Economics
AI artificial intelligence brings about new quantitative techniques to assess the state of an economy. Here, we describe a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the penalization parameter (λ" role="presentation" style="box-sizing: border-box; display: inline; font-style: normal; font-weight: normal; line-height: normal; font-size: 18px; text-indent: 0px; text-align: left; text-transform: none; letter-spacing: normal; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; position: relative;">λλ) of a linear quantile lasso regression. The FRM is calculated by taking the average …
Skbi Big 5 Survey 2019 August, Singapore Management University
Skbi Big 5 Survey 2019 August, Singapore Management University
Sim Kee Boon Institute for Financial Economics
On balance, our overall interpretation of the multiyear Big5 survey results implies the following economy-at-risk scale (least to most): India, China, US, Japan and Euro Area (i.e., India’s economy appears to be the least at-risk, while the Euro Area might be the most at-risk). Broadly, survey participants expect the risks to GDP growth to be tilted to the downside in 2019 and 2020 followed by a more balanced growth environment in 2021. But participants seem to lean toward a more balanced risk assessment on headline inflation from 2019 through 2021, with the exception of the Euro Area, where a modest …
Forecasting In Blockchain-Based Local Energy Markets, Michael Kostmann, Wolfgang Karl Hardle
Forecasting In Blockchain-Based Local Energy Markets, Michael Kostmann, Wolfgang Karl Hardle
Sim Kee Boon Institute for Financial Economics
Increasingly volatile and distributed energy production challenges traditional mechanisms to manage grid loads and price energy. Local energy markets (LEMs) may be a response to those challenges as they can balance energy production and consumption locally and may lower energy costs for consumers. Blockchain-based LEMs provide a decentralized market to local energy consumer and prosumers. They implement a market mechanism in the form of a smart contract without the need for a central authority coordinating the market. Recently proposed blockchain-based LEMs use auction designs to match future demand and supply. Thus, such blockchain-based LEMs rely on accurate short-term forecasts of …