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Full-Text Articles in Business

Fomc Playbook: The Only New Game In Town?, Thomas Lam Jun 2020

Fomc Playbook: The Only New Game In Town?, Thomas Lam

Sim Kee Boon Institute for Financial Economics

In light of the Covid-19 pandemic, the Federal Open Market Committee (FOMC), while taking more aggressive actions, seems to have stuck more or less to the standard playbook of responding to “unusual and exigent circumstances”. This essentially calls for slashing conventional policy rates to their effective lower bound, accompanied by forward guidance, embarking on asset purchases, rolling out emergency liquidity facilities and experimenting with lending programmes. But policymakers, with the required US Treasury backstop, have also introduced more creative programmes to encourage credit extension and reached into different market segments.


Understanding Cryptocurrencies, Wolfgang Karl Hardle, Campbell R. Harvey, Raphael C. G. Ruele Mar 2020

Understanding Cryptocurrencies, Wolfgang Karl Hardle, Campbell R. Harvey, Raphael C. G. Ruele

Sim Kee Boon Institute for Financial Economics

Cryptocurrency refers to a type of digital asset that uses distributed ledger, or blockchain, technology to enable a secure transaction. Although the technology is widely misunderstood, many central banks are considering launching their own national cryptocurrency. In contrast to most data in financial economics, detailed data on the history of every transaction in the cryptocurrency complex are freely available. Furthermore, empirically oriented research is only now beginning, presenting an extraordinary research opportunity for academia. We provide some insights into the mechanics of cryptocurrencies, describing summary statistics and focusing on potential future research avenues in financial economics.


Investing With Cryptocurrencies: A Liquidity Constrained Investment Approach, Simon Trimborn, Mingyang Li, Wolfgang Karl Hardle Mar 2020

Investing With Cryptocurrencies: A Liquidity Constrained Investment Approach, Simon Trimborn, Mingyang Li, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

Cryptocurrencies have left the dark side of the finance universe and become an object of study for asset and portfolio management. Since they have low liquidity compared to traditional assets, one needs to take into account liquidity issues when adding them to a portfolio. We propose a Liquidity Bounded Risk-return Optimization (LIBRO) approach, which is a combination of risk-return portfolio optimization under liquidity constraints. Cryptocurrencies are included in portfolios formed with stocks of the S&P 100, US Bonds, and commodities. We illustrate the importance of the liquidity constraints in an in-sample and out-of-sample study. LIBRO improves the weight optimization in …


Skbi Big 5 Survey 2020 February, Singapore Management University Feb 2020

Skbi Big 5 Survey 2020 February, Singapore Management University

Sim Kee Boon Institute for Financial Economics

On balance, our overall read of the latest multiyear Big5 survey results implies the following economy-at-risk scale (least to most): India, US, Euro Area, Japan and China (i.e., India’s economy might be least at-risk, while China is deemed to be most at-risk). Broadly, survey participants expect the risk assessment to GDP growth to be skewed to the downside in 2020 followed by a more balanced backdrop in 2021. But participants seem to be more divided, with most responses favoring “downside” or/and “balanced” risks, on the 2022 growth environment. The risks to headline inflation in 2020, however, appear to be more …


An Ai Approach To Measuring Financial Risk, Lining Yu, Wolfgang Karl Hardle, Lukas Borke, Thijs Benschop Dec 2019

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 Aug 2019

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 Jul 2019

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 …


Blockchain And Smart Contracts, Simon J.D. Schillebeeckx, Miguel Soriano, Ernie G. S. Teo Jun 2016

Blockchain And Smart Contracts, Simon J.D. Schillebeeckx, Miguel Soriano, Ernie G. S. Teo

Sim Kee Boon Institute for Financial Economics

This discussion paper covers and develops the ideas discussed during the Roundtable Discussion on Blockchain and Smart Contracts, jointly organised by the Singapore CFO institute and the Sim Kee Boon Institute for Financial Economics (SKBI) at Singapore Management University (SMU) on the 29th of June, 2016. The discussion was moderated by: Professor David Lee Kuo Chen (SKBI & SMU) and Mr Loh Uantchern (Chief Executive Singapore Accountancy Commission).