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Articles 1 - 15 of 15
Full-Text Articles in Finance and Financial Management
Disagreement In Market Index Options, Guilherme Salome, George Tauchen, Jia Li
Disagreement In Market Index Options, Guilherme Salome, George Tauchen, Jia Li
Research Collection School Of Economics
We generate new evidence on disagreement among traders in the S&P 500 options market from high-frequency intraday price and volume data. Inference on disagreement is based on a model where investors observe public information but agree to disagree on its interpretation; disagreement among investors is captured by the volume–volatility elasticity. For options, there are two natural variables related to disagreement: moneyness and tenor, which we relate to disagreement about the distribution of the market index at different quantiles and times. The estimated volume–volatility elasticity equals unity for options near the money and close to expiration, which is consistent with the …
What, Why And How Financial Development Matters: Evidence Of Asean-5, Asia-5 And Oecd-7 Economies, Swee Liang Tan
What, Why And How Financial Development Matters: Evidence Of Asean-5, Asia-5 And Oecd-7 Economies, Swee Liang Tan
Research Collection School Of Economics
This paper analyzed the association between bank and capital markets financial development with income per capita in three regions; ASEAN-5 economies (Singapore, Malaysia, Thailand, Philippines, Indonesia), Asia-5 (Japan, China, Hong Kong SAR, South Korea, and India), and OECD-7 (Australia, Canada, Denmark, Norway, Sweden, UK, and US) from 2000 to 2017 using panel data regressions. A key lesson ASEAN-5 can learn from Asia-5 and OECD-7 experience is that bank size does matter despite digital disruptions to their banking system; yet large financial structure that favors banks is negatively associated with Asia-5, and importantly, efficient banking system (not bank size alone) is …
Forecasting Realized Volatility Using A Nonnegative Semiparametric Model, Anders Eriksson, Daniel P. A. Preve, Jun Yu
Forecasting Realized Volatility Using A Nonnegative Semiparametric Model, Anders Eriksson, Daniel P. A. Preve, Jun Yu
Research Collection School Of Economics
This paper introduces a parsimonious and yet flexible semiparametric model to forecastfinancial volatility. The new model extends a related linear nonnegative autoregressive modelpreviously used in the volatility literature by way of a power transformation. It is semiparametric inthe sense that the distributional and functional form of its error component is partially unspecified.The statistical properties of the model are discussed and a novel estimation method is proposed.Simulation studies validate the new method and suggest that it works reasonably well in finitesamples. The out-of-sample forecasting performance of the proposed model is evaluated against anumber of standard models, using data on S&P 500 …
Marginal Cost Of Risk-Based Capital And Risk-Taking, Tao Chen, Jing Rong Goh, Shinichi Kamiya, Pingyi Lou
Marginal Cost Of Risk-Based Capital And Risk-Taking, Tao Chen, Jing Rong Goh, Shinichi Kamiya, Pingyi Lou
Research Collection School Of Economics
We explore the impact of capital adequacy requirements on financial institutions' risk-taking behavior from a novel perspective. Specifically, we show that an important feature of the risk-based capital (RBC) system a built-in diversification benefit in aggregating risk categories induces moral hazard. We find that insurers that face lower marginal RBC costs of fixed-income (FI) investment tend to purchase riskier Fl securities. This relationship holds even when lower marginal RBC costs result from increased risk in other risk categories, which is an unintended consequence of the RBC's square root rule. Using Hurricanes Katrina and Sandy as exogenous shocks to the RBC …
Financial Sector In Singapore, Hwee Kwan Chow, Sai Fan Pei
Financial Sector In Singapore, Hwee Kwan Chow, Sai Fan Pei
Research Collection School Of Economics
This chapter reviews the financial development strategies adopted by the Singapore government as it navigates internal and external changes to build a vibrant center of finance in the Asia Pacific region. Sections 2 and 3 provide an overview of the structure of the financial system and the financial governance framework respectively. This is followed by a discussion, in Section 4, on the outward looking development strategy that underpinned the successful development of Singapore’s financial sector. Section 5 highlights the reforms undertaken in the aftermath of the Asian financial crisis that led to the building of a well-diversified and thriving international …
Self-Exciting Jumps, Learning, And Asset Pricing Implications, Andras Fulop, Junye Li, Jun Yu
Self-Exciting Jumps, Learning, And Asset Pricing Implications, Andras Fulop, Junye Li, Jun Yu
Research Collection School Of Economics
The paper proposes a self-exciting asset pricing model that takes into account co-jumps between prices and volatility and self-exciting jump clustering. We employ a Bayesian learning approach to implement real-time sequential analysis. We find evidence of self-exciting jump clustering since the 1987 market crash, and its importance becomes more obvious at the onset of the 2008 global financial crisis. We also find that learning affects the tail behaviors of the return distributions and has important implications for risk management, volatility forecasting, and option pricing.
Dating The Timeline Of Financial Bubbles During The Subprime Crisis, Peter C. B. Phillips, Jun Yu
Dating The Timeline Of Financial Bubbles During The Subprime Crisis, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
A new recursive regression methodology is introduced to analyze the bubble characteristics of various financial time series during the subprime crisis. The methods modify a technique proposed in Phillips, Wu, and Yu (2011) and provide a technology for identifying bubble behavior with consistent dating of their origination and collapse. The tests serve as an early warning diagnostic of bubble activity and a new procedure is introduced for testing bubble migration across markets. Three relevant financial series are investigated, including a financial asset price (a house price index), a commodity price (the crude oil price), and one bond price (the spread …
Explosive Behavior In The 1990s Nasdaq: When Did Exuberance Escalate Asset Values?, Peter C. B. Phillips, Yangru Wu, Jun Yu
Explosive Behavior In The 1990s Nasdaq: When Did Exuberance Escalate Asset Values?, Peter C. B. Phillips, Yangru Wu, Jun Yu
Research Collection School Of Economics
A recursive test procedure is suggested that provides a mechanism for testing explosive behavior, date stamping the origination and collapse of economic exuberance, and providing valid confidence intervals for explosive growth rates. The method involves the recursive implementation of a right-side unit root test and a sup test, both of which are easy to use in practical applications, and some new limit theory for mildly explosive processes. The test procedure is shown to have discriminatory power in detecting periodically collapsing bubbles, thereby overcoming a weakness in earlier applications of unit root tests for economic bubbles. An empirical application to the …
The Impact Of Transaction Duration, Volume And Direction On Price Dynamics And Volatility, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka
The Impact Of Transaction Duration, Volume And Direction On Price Dynamics And Volatility, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka
Research Collection School Of Economics
We explore the role of trade volume, trade direction, and the duration between trades in explaining price dynamics and volatility using an Asymmetric Autoregressive Conditional Duration model applied to intraday transactions data. Our results suggest that volume, direction and duration are important determinants of price dynamics, while duration is also an important determinant of volatility. However, the impact of volume and direction on volatility is marginal after controlling for duration, and the impact of volume on volatility appears to be confined to periods of infrequent trading.
Dating The Timeline Of Financial Bubbles During The Subprime Crisis, Peter C. B. Phillips, Jun Yu
Dating The Timeline Of Financial Bubbles During The Subprime Crisis, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
A new recursive regression methodology is introduced to analyze the bubble characteristics of various financial time series during the subprime crisis. The methods modify a technique proposed in Phillips, Wu, and Yu (2011) and provide a technology for identifying bubble behavior with consistent dating of their origination and collapse. The tests serve as an early warning diagnostic of bubble activity and a new procedure is introduced for testing bubble migration across markets. Three relevant financial series are investigated, including a financial asset price (a house price index), a commodity price (the crude oil price), and one bond price (the spread …
Using High-Frequency Transaction Data To Estimate The Probability Of Informed Trading, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka
Using High-Frequency Transaction Data To Estimate The Probability Of Informed Trading, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka
Research Collection School Of Economics
This paper applies the asymmetric autoregressive conditional duration (AACD) model of Bauwens and Giot (2003) to estimate the probability of informed trading (PIN) using irregularly spaced transaction data. We model trade direction (buy versus sell orders) and the duration between trades jointly. Unlike the Easley, Hvidkjaer, and O'Hara (2002) approach, which uses the aggregate numbers of daily buy and sell orders to estimate PIN, our methodology allows for interactions between consecutive buy-sell orders and accounts for the duration between trades and the volume of trade. We extend the Easley–Hvidkjaer–O'Hara framework by allowing the probabilities of good news and bad news …
Realized Daily Variance Of S&P 500 Cash Index: A Revaluation Of Stylized Facts, Shirley Huang, Qianqiu Liu, Jun Yu
Realized Daily Variance Of S&P 500 Cash Index: A Revaluation Of Stylized Facts, Shirley Huang, Qianqiu Liu, Jun Yu
Research Collection School Of Economics
In this paper the realized daily variance is obtained from intraday transaction prices of the S&P 500 cash index over the period from January 1993 to December 2004. When constructing realized daily variance, market microstructure noise is taken into account using a technique proposed by Zhang, Mykland and Ait-Sahalia (2005). The time series properties of realized daily variance are compared with those of variance estimates obtained from parametric GARCH and stochastic volatility models. Unconditional and dynamic properties concerning the realized daily variance are examined, the relationship between realized variance and returns is investigated, and the stylized facts concerning realized daily …
Modeling Transaction Data Of Trade Direction And Estimation Of Probability Of Informed Trading, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitch Warachka
Modeling Transaction Data Of Trade Direction And Estimation Of Probability Of Informed Trading, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitch Warachka
Research Collection School Of Economics
This paper implements the Asymmetric AutoregressiveConditional Duration (AACD) model of Bauwens and Giot (2003) to analyzeirregularly spaced transaction data of trade direction, namely buy versus sellorders. We examine the influence of lagged transaction duration, lagged volumeand lagged trade direction on transaction duration and direction. Our resultsare applied to estimate the probability of informed trading (PIN) based on theEasley, Hvidkjaer and O’Hara (2002) framework. Unlike the Easley-Hvidkjaer-O’Hara model, which uses the daily aggregate number of buy and sellorders, the AACD model makes full use of transaction data and allows forinteractions between buy and sell orders.
Venture Capital And Economic Growth: An Industry Overview And Singapore's Experience, Francis Koh, Winston T. H. Koh
Venture Capital And Economic Growth: An Industry Overview And Singapore's Experience, Francis Koh, Winston T. H. Koh
Research Collection School Of Economics
This paper provides an overview of the venture capital industry, and its development in Asia and Singapore. Venture capital plays an important role in innovation and economic growth. Indeed, the resurgence of the United States as a technology leader is intimately linked to the success of Silicon Valley. As Singapore enters the next phase of economic development, the creation of internal engines of growth is an urgent task. The Singapore government has done much to provide an environment for entrepreneurship to thrive. Its success at replicating the Silicon Valley culture will be important for Singapore’s future economic success.
Forecasting Volatility: Evidence From The German Stock Market, Hagen H. W. Bluhm, Jun Yu
Forecasting Volatility: Evidence From The German Stock Market, Hagen H. W. Bluhm, Jun Yu
Research Collection School Of Economics
In this paper we compare two basic approaches to forecast volatility in the German stock market. The first approach uses various univariate time series techniques while the second approach makes use of volatility implied in option prices. The time series models include the historical mean model, the exponentially weighted moving average (EWMA) model, four ARCH-type models and a stochastic volatility (SV) model. Based on the utilization of volatility forecasts in option pricing and Value-at-Risk (VaR), various forecast horizons and forecast error measurements are used to assess the ability of volatility forecasts. We show that the mode lrankings are sensitive to …