Social and Behavioral Sciences Commons^™

Cross-Exchange Crypto Risk: A High-Frequency Dynamic Network Perspective, Yifu Wang, Wanbo Lu, Min-Bin Liu, Rui Ren, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

Cross-exchange crypto trading presents inherent risks, particularly for centralized exchanges. Investors observe exacerbating crypto volatility and counterparty risk and would like to quantify these elements of crypto trades. The multiple exchanges require a multivariate view on the structures of risk spillover across exchanges. Here, a Multivariate Heterogeneous AutoRegression (MHAR) model is designed and analyzed, accommodating the stylized facts of crypto markets, including 24/7 trading and the long-memory effect on return variations. The proposed MHAR approach clearly reveals the intensity of interconnectedness among exchanges during extreme events, e.g., the Bitcoin market. Additionally, one observes extremely volatile eigenvector centralities of Futures Exchange …

Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper analyzes a mix of alternative policies in supporting the green transition and the phase-out of fossil fuels, without compromising financial stability. An environmental dynamic stochastic general equilibrium (E-DSGE) model with two sectors (green and brown) and endogenous default is developed to assess potential climate-induced financial stability threats that can be mainly generated through physical and transition risks mechanism. Those risks are evaluated through a compound capital depreciation shock and a carbon tax shock. The paper offers several findings. First of all, a too stringent carbon tax would increase the medium-term default rate in both sectors, harming financial stability …

Navigating Geopolitical Crises For Energy Security: Evaluating Optimal Subsidy Policies Via A Markov Switching Dsge Model, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper aims to provide insights on the design of optimal subsidy policies to enhance energy security amidst energy disruptions triggered by geopolitical conflicts. We introduce a novel Markov switching dynamic stochastic general equilibrium (MS-DSGE) model to address the limitations of existing integrated assessment models in environmental evaluation. These models often fail to adequately consider the environmental and economic impacts of geopolitical conflicts and do not prioritize energy security sufficiently in policymaking. Our application of the MS-DSGE model to the Russia–Ukraine conflict reveals significant decreases in output, social welfare, and energy consumption during disruptions. The mere anticipation of an energy …

Local Institutional Investors And Corporate Monitoring: Evidence From Cross-Listed Korean Stocks In The Us Market, Changhwan Choi, Chune Young Chung, Jun Myung Song

Sim Kee Boon Institute for Financial Economics

Using Korean firms that are cross-listed in the US market, this paper investigates whether there are standalone effects of geographic and market proximity of institutional investors on monitoring performance. We find that Korean institutional ownership is negatively associated with earnings management while the US institutional ownership has no impact on earnings management. This suggests that there is the geographic proximity advantage over the market proximity advantage in the emerging markets. Furthermore, we also show that the impact of geographic proximity is stronger for firms with high informational opacity

Female Ceos And Investment Efficiency In The Vietnamese Market, Jun Myung Song, Chune Young Chung

Sim Kee Boon Institute for Financial Economics

This paper proposes female CEOs’ overconfidence and risky behavior stem from gender stereotype threats. Using two subsamples from Vietnam—firms in the Northern and Southern regions—we empirically show that female CEOs in the North, where there is less gender stereotyping, tend to overinvest relative to male CEOs. However, in the South, they are indifferent. Additional analysis reinforces the main finding that female CEOs in the North tend to take more risks even when dealing with market volatility and uncertainty (e.g., the COVID-19 pandemic). Such risky behaviors do not deteriorate firm value but, instead, possibly improve firm performance.

Estimating And Applying Autoregression Models Via Their Eigensystem Representation, Leo Krippner

Sim Kee Boon Institute for Financial Economics

This article introduces the eigensystem autoregression (EAR) framework, which allows an AR model to be speciÖed, estimated, and applied directly in terms of its eigenvalues and eigenvectors. An EAR estimation can therefore impose various constraints on AR dynamics that would not be possible within standard linear estimation. Examples are restricting eigenvalue magnitudes to control the rate of mean reversion, additionally imposing that eigenvalues be real and positive to avoid pronounced oscillatory behavior, and eliminating the possibility of explosive episodes in a time-varying AR. The EAR framework also produces closed-form AR forecasts and associated variances, and forecasts and data may be …

The Livingston Survey 2023, S. Anderson, B. Bovino, M. Brown, Thomas Lam, Et Al

Sim Kee Boon Institute for Financial Economics

The 15 participants in the June Livingston Survey predict higher output growth for the first half of 2023 than they predicted in the December 2022 survey. The forecasters, who are surveyed by the Federal Reserve Bank of Philadelphia twice a year, now project that the economy’s output (real GDP) will grow at an annual rate of 1.1 percent during the first half of 2023. They expect weaker conditions in the second half of 2023, when growth is expected to be at an annual rate of -0.7 percent. Both projections represent upward revisions from those of the December 2022 survey. Growth …

Female Ceos And Investment Efficiency In The Vietnamese Market, Jun Myung Song, Chune Young Chung

Sim Kee Boon Institute for Financial Economics

This paper proposes female CEOs’ overconfidence and risky behavior stem from gender stereotype threats. With two subsamples in Vietnam—firms in the Northern and Southern regions–we empirically show that female CEOs in the North, where there is less gender stereotype, tend to overinvest relative to male CEOs. However, in the South, they are indifferent. Additional analysis reinforces the main finding that female CEOs from the North tend to take more risks even when dealing with market volatility and uncertainty (e.g., the COVID-19 pandemic). Such risky behaviors of female CEOs in the North do not deteriorate firm value but instead, possibly improve …

Survey Of Professional Forecasters 2023, Singapore Management University

Sim Kee Boon Institute for Financial Economics

Forecasters Maintain Their Expectations for Growth in 2023 The forecasters see the U.S. economy in 2023 expanding at the same pace as they predicted three months ago, according to 38 panelists surveyed by the Federal Reserve Bank of Philadelphia. The forecasters predict annual-average over annualaverage growth in real GDP of 1.3 percent in 2023, unrevised from their estimate of three months ago. The panelists are also maintaining their forecast for growth in the second quarter at an annual rate of 1.0 percent, unchanged compared with their previous projection. However, while their predictions for the second quarter and for 2023 remain …

Hedging Cryptos With Bitcoin Futures, Francis Liu, Natalie Packham, Meng-Jou Lu, Wolfgang Karl Haerdle

Sim Kee Boon Institute for Financial Economics

The introduction of derivatives on Bitcoin enables investors to hedge risk exposures in cryptocurrencies. Because of volatility swings and jumps in cryptocurrency prices, the traditional variance-based approach to obtain hedge ratios may not be suitable for hedgers. In this work, we consider two extensions of the traditional approach: first, different dependence structures are modelled by different copulae, such as the Gaussian, Student-t, Normal Inverse Gaussian and Archimedean copulae; second, different risk measures, such as value-at-risk, expected shortfall and spectral risk measures are employed to find the optimal hedge ratio. Extensive out-of-sample tests using the data from the time …

Assessing The Odds Of A Us Recession, Thomas Lam, David Fernandez

Sim Kee Boon Institute for Financial Economics

In this commentary, SMU Sim Kee Boon Institute for Financial Economics (SKBI) Principal Researcher Thomas Lam and SKBI Director SMU Professor of Finance (Practice) Dave Fernandez offer their perspectives on the current multifaceted and highly charged US recession debate. While America is currently not in a downturn, the near-term odds of one have edged up, according to models based on key monthly and weekly indicators.

Are Markets Interested In Adapting To Climate? Insights From Singapore, Stella Whittaker, Tran Bao Phuong Nguyen

Sim Kee Boon Institute for Financial Economics

We have collected the views of leading practitioners and academics in Singapore involved in funding and financing urban climate change adaptation1 (thereon referred to as urban adaptation). Throughout this paper we discuss several vital perspectives on adaptation financing, namely responsibility for adaptation investment, the extent of government adaptation investment, private sector adaptation investment appetite and prospects for experimentation in adaptation financing. We also attempt to shed light on the existence or not of an adaptation financing gap2 in Singapore.

The Livingston Survey 2022, S. Anderson, B. Bovino, M. Brown, Thomas Lam, Et Al

Sim Kee Boon Institute for Financial Economics

The 16 participants in the December Livingston Survey weakened their forecasts for real GDP growth, compared with their projections in the June 2022 survey. The forecasters, who are surveyed by the Federal Reserve Bank of Philadelphia twice a year, expect 2.0 percent annualized growth in real GDP during the second half of 2022. They project 0.4 percent annualized growth over the first half of 2023. The forecasters predict that real GDP will continue to decline and reach -1.0 percent annualized growth in the second half of 2023.

Is Fed Policy In The Eye Of The Beholder?, Leo Krippner, Thomas Lam

Sim Kee Boon Institute for Financial Economics

While the US Federal Reserve remains vigilant on inflation, it will likely continue its tightening cycle with caution, with an eye on market expectations about future policy actions and financial conditions.

Skbi Big 5 Survey 2022 August, Singapore Management University

Sim Kee Boon Institute for Financial Economics

The latest survey results on the largest five economies (Big5) were revised markedly relative to the prior release (pre-Russia-Ukraine conflict), generally indicating weaker growth and higher inflation coupled with incremental ambiguity on the policy front.

Downscaling Of Physical Risks For Climate Scenario Design, Enrico Biffis, Shuai Wang

Sim Kee Boon Institute for Financial Economics

Southeast Asia is arguably one of the areas most vulnerable to natural disasters due to its dense population, coastal urbanization, and rainfall variability driven by the local monsoon systems. In this report, we focus on the impact of global warming in the region along four climate dimensions: temperature, precipitation, wind speed and coastal surge. The latter represents the surge of water from the ocean in excess of astronomical tides. Our objective is to downscale the outputs of global climate models to temporal and spatial resolutions of interest to market participants wishing to quantify climate risk vulnerability via climate stress testing …

Geopolitics And Ballpark Estimates, Thomas Lam, David Fernandez

Sim Kee Boon Institute for Financial Economics

Most economist commenced 2022 with 3 key assumptions on the global economy:

1) Some policy normalisation and reversal, though cautious and uneven, are likely to occur in economies with above-average growth and inflation;

2) The Covid-19 infection wave, while presumably asymmetric and recurrent across countries, appears to have less of an imprint on cyclical activity on balance;

3) The lingering supply disruptions resulting from the pandemic, albeit still intense and widespread, should be easing gradually.

Sandwiched Between A Rock And A Hard Place?, Thomas Lam, David Fernandez

Sim Kee Boon Institute for Financial Economics

The policy gap between US and China is likely to be widening further, potentially raising and unevenly distributing the risks of negative spillovers for Asia and the rest of the world.

Skbi Big 5 Survey 2022 February, Singapore Management University

Sim Kee Boon Institute for Financial Economics

The latest survey results on the largest five economies (Big5), based on submissions prior to the ongoing Russia-Ukraine conflict, imply a more intricate growth, inflation and policy dynamic.

Skbi Big 5 Survey 2021 August, Singapore Management University

Sim Kee Boon Institute for Financial Economics

The latest survey results convey an upshift in growth projections of the five largest economies in aggregate accompanied by higher inflation, especially this year and to a lesser extent next year. The aggregate “Big5” median real GDP growth projections for 2021 and 2022 were raised to 6.7% (up in US, CN and EA but down in IN and JP) and 4.9% (all except US), respectively. The overall “Big5” median CPI inflation forecasts were nudged up to 2.6% (higher in US, IN and EA but lower in CN) and 2.4% (in US, IN and EA some), respectively, for this year and …

Squawking About Persistently Higher Inflation?, Thomas Lam

Sim Kee Boon Institute for Financial Economics

All signs point to an uncertain path for inflation in the future. While inflation is set to stay prospectively higher in the US in the near-term, it's unlikely to remain so.

Skbi Big 5 Survey 2021 February, Singapore Management University

Sim Kee Boon Institute for Financial Economics

The latest survey results suggest that the five largest economies collectively is projected to snapback to almost 6% in 2021, a modest upgrade from the August median, following an unprecedented preliminary contraction of roughly 4% last year (in real GDP terms). The 2022 median growth forecast of slightly above 4.5%, while slower, is still respectable, outstripping its pre-COVID 10-year average pace by more than half a percentage point. The aggregate upgrade in 2021, however, obscures the lopsided nature and highly uneven contour of the ongoing recovery. The bulk of the upward revision to growth was mainly due to IN (to …

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

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

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

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

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

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

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

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 …