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Articles 1 - 7 of 7
Full-Text Articles in Business
Data Driven Value-At-Risk Forecasting Using A Svr-Garch-Kde Hybrid, Marius Lux, Wolfgang Karl Hardle, Stefan Lessmann
Data Driven Value-At-Risk Forecasting Using A Svr-Garch-Kde Hybrid, Marius Lux, Wolfgang Karl Hardle, Stefan Lessmann
Sim Kee Boon Institute for Financial Economics
Appropriate risk management is crucial to ensure the competitiveness of financial institutions and the stability of the economy. One widely used financial risk measure is value-at-risk (VaR). VaR estimates based on linear and parametric models can lead to biased results or even underestimation of risk due to time varying volatility, skewness and leptokurtosis of financial return series. The paper proposes a nonlinear and nonparametric framework to forecast VaR that is motivated by overcoming the disadvantages of parametric models with a purely data driven approach. Mean and volatility are modeled via support vector regression (SVR) where the volatility model is motivated …
Frm Financial Risk Meter, Andrija Mihoci, Michael Althof, Cathy Yi-Hsuan Chen, Wolfgang Karl Hardle
Frm Financial Risk Meter, Andrija Mihoci, Michael Althof, Cathy Yi-Hsuan Chen, Wolfgang Karl Hardle
Sim Kee Boon Institute for Financial Economics
A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilizing tail event information. Financial Risk Meter (FRM) is based on least absolute shrinkage and selection operator quantile regression designed to capture tail event co-movements. The FRM focus lies on understanding active set data characteristics and the presentation of interdependencies in a network topology. Two FRM indices are presented, namely, FRM@Americas and FRM@Europe. The FRM indices detect systemic risk at selected areas and identify risk factors. In practice, FRM is applied to the return time series of selected financial institutions …
Teres: Tail Event Risk Expectile Shortfall, Andrija Mihoci, Wolfgang Karl Hardle, Cathy Yi-Hsuan Chen
Teres: Tail Event Risk Expectile Shortfall, Andrija Mihoci, Wolfgang Karl Hardle, Cathy Yi-Hsuan Chen
Sim Kee Boon Institute for Financial Economics
We propose a generalized risk measure for expectile-based expected shortfall estimation. The generalization is designed with a mixture of Gaussian and Laplace densities. Our plug-in estimator is derived from an analytic relationship between expectiles and expected shortfall. We investigate the sensitivity and robustness of the expected shortfall to the underlying mixture parameter specification and the risk level. Empirical results from the US, German and UK stock markets and for selected NASDAQ blue chip companies indicate that expected shortfall can be successfully estimated using the proposed method on a monthly, weekly, daily and intra-day basis using a 1-year or 1-day time …
Skbi Big 5 Survey 2020 August, Singapore Management University
Skbi Big 5 Survey 2020 August, Singapore Management University
Sim Kee Boon Institute for Financial Economics
The COVID-19 pandemic led to whopping downward revisions to 2020 real GDP growth among the Big5 economies, on average greater than 7%-points (ranging from roughly 3.5%-points for China to more than 10%-points for India). The forecast revisions to headline inflation were less sizable and more uneven, perhaps because of the confluence of supply and demand influences. The 2021 median GDP forecast is expected to turn positive overall, with a balanced risk assessment for most of the Big5 (but a coin toss in IN and US), but the growth reversal is likely to be highly uneven. While China regains its prior …
Fomc Playbook: The Only New Game In Town?, Thomas Lam
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.
Investing With Cryptocurrencies: A Liquidity Constrained Investment Approach, Simon Trimborn, Mingyang Li, Wolfgang Karl Hardle
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
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 …