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Articles 61 - 73 of 73
Full-Text Articles in Econometrics
Forex Market Behaviour : Application Of High Frequency Data., Tan Heng Kiat
Forex Market Behaviour : Application Of High Frequency Data., Tan Heng Kiat
Student Works (2010-2019)
The huge and high frequency trading in foreign exchange market creates the need for an analytical method that can provide a view on the volatility. Traditional methods such as GARCH are proven to have limitations when applied to high frequency data, such as those generated in foreign exchange market.In this thesis, wavelet method is applied to high frequency data of EURO/USD, GBP/USD and YEN/USD currency pairs and of one minute resolution. The period of this behavioral study is from one hour before 1pm GMT to one hour after 1pm GMT for every Mondays from June 2008 to Dec 2008. The …
Trusts Versus Corporations: An Empirical Analysis Of Competing Organizational Forms, A. Joseph Warburton
Trusts Versus Corporations: An Empirical Analysis Of Competing Organizational Forms, A. Joseph Warburton
College of Law - Faculty Scholarship
This paper studies the effects of organizational form on managerial behavior and firm performance, from an empirical perspective. Managers of trusts are subject to stricter fiduciary responsibilities than managers of corporations. This paper examines the ramifications empirically, by exploiting data generated by a change in British regulations in the 1990s that allowed mutual funds to organize as either a trust or a corporation. I find evidence that trust law is effective in curtailing opportunistic behavior, as trust managers charge significantly lower fees than their observationally equivalent corporate counterparts. Trust managers also incur lower risk. However, evidence suggests that trust managers …
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 …
Bayesian Analysis Of Structural Credit Risk Models With Microstructure Noises, Shirley J. Huang, Jun Yu
Bayesian Analysis Of Structural Credit Risk Models With Microstructure Noises, Shirley J. Huang, Jun Yu
Research Collection School Of Economics
In this paper a Markov chain Monte Carlo (MCMC) technique is developed for the Bayesian analysis of structural credit risk models with microstructure noises. The technique is based on the general Bayesian approach with posterior computations performed by Gibbs sampling. Simulations from the Markov chain, whose stationary distribution converges to the posterior distribution, enable exact ¯nite sample inferences of model parameters. The exact inferences can easily be extended to latent state variables and any nonlinear transformation of state variables and parameters, facilitating practical credit risk applications. In addition, the comparison of alternative models can be based on deviance information criterion …
Are Credit Unions In Ecuador Achieving Economies Of Scale?, Nick A. Marchio
Are Credit Unions In Ecuador Achieving Economies Of Scale?, Nick A. Marchio
Economics Honors Projects
This study tests the assertion that membership growth in credit unions is constrained by their unique structural features, such as their non-profit mission and member-based ownership. Although these features enhance inclusiveness, existing theory suggest that they work against efficiency when membership grows too diffuse. To address this issue, this study uses a model that takes into account existing theory on constrained-optimization in credit unions and theory on the adverse effects of diffuse ownership. Using data on 36 public credit unions in Ecuador, the empirical analysis finds evidence that credit unions can achieve economies of scale despite their problematic structural features. …
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 …
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.
Intraday Stock Prices, Volume, And Duration: A Nonparametric Conditional Density Analysis, Anthony S. Tay, Christopher Ting
Intraday Stock Prices, Volume, And Duration: A Nonparametric Conditional Density Analysis, Anthony S. Tay, Christopher Ting
Research Collection School Of Economics
We investigate the distribution of high-frequency price changes, conditional on trading volume and duration between trades, on four stocks traded on the New York Stock Exchange. The conditional probabilities are estimated nonparametrically using local polynomial regression methods. We find substantial skewness in the distribution of price changes, with the direction of skewness dependent on the sign of trade. We also find that the probability of larger price changes increases with volume, but only for trades that occur with longer durations. The distribution of price changes vary with duration primarily when volume is high.
Jackknifing Bond Option Prices, Peter C. B. Phillips, Jun Yu
Jackknifing Bond Option Prices, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
Prices of interest rate derivative securities depend crucially on the mean reversion parameters of the underlying diffusions. These parameters are subject to estimation bias when standard methods are used. The estimation bias can be substantial even in very large samples and much more serious than the discretization bias, and it translates into a bias in pricing bond options and other derivative securities that is important in practical work. This article proposes a very general and computationally inexpensive method of bias reduction that is based on Quenouille's (1956; Biometrika, 43, 353-360) jackknife. We show how the method can be applied directly …
Transaction-Data Analysis Of Marked Durations And Their Implications For Market Microstructure, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka
Transaction-Data Analysis Of Marked Durations And Their Implications For Market Microstructure, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka
Research Collection Lee Kong Chian School Of Business
We propose an Autoregressive Conditional Marked Duration (ACMD) model for the analysis of irregularly spaced transaction data. Based on the Autoregressive Conditional Duration (ACD) model, the ACMD model assigns marks to characterize events such as tick movements and trade directions (buy/sell). Applying the ACMD model to tick movements, we study the influence of trade frequency, direction and size on price dynamics, volatility and the permanent and transitory price impacts of trade. We also apply the ACMD model to analyze trade-direction data and estimate the probability of informed trading (PIN). We find that trade frequency has a critical role in price …
A Study On The Behaviour Of Selected Macroeconomic Indicators For Malaysia Prior To The Currency Crisis In 1997, Sena Herath Vijitha
A Study On The Behaviour Of Selected Macroeconomic Indicators For Malaysia Prior To The Currency Crisis In 1997, Sena Herath Vijitha
Student Works (2000-2009)
This paper attempts to develop an early warning system to predict currency crises that will allow managers not to be caught off-guard when a currency crisis hits the country. It is hoped that with an effective early warning system, managers will have adequate time to construct appropriate marketing and business strategies to counter the negative impact of a currency crisis. This research project examines the macroeconomic data generated by Bank Negara and the Ministry of Finance to see if correlations exist between macroeconomic measures and devaluation prospects as cited in the literature and whether these can be used in the …
The Applicability Of The Dividend-Yield Investment Strategy At The Kuala Lumpur Stock Exchange, Allan, Kim Hon. Ngam
The Applicability Of The Dividend-Yield Investment Strategy At The Kuala Lumpur Stock Exchange, Allan, Kim Hon. Ngam
Student Works (2000-2009)
Many theories, techniques and strategies have been developed over the years on how to outperform the stock market. The objective of this research is to apply the "Dividend-Yield" strategy on the Kuala Lumpur Stock Exchange ("KLSE") to ascertain whether using such a strategy would provide superior investment return. Research findings using this strategy on the New York Stock Exchange ("NYSE") have shown favourable results. The data used in this research were sourced primarily from the KLSE, covering a period of 10 years from 1988 to 1997. This research is based on the premise that the investment universe comprises the component …
An Examination Of The Relationship Between Stock Index Cash And Futures Markets: A Cointegration Approach, Michael A. Pizzi, Andrew J. Economopoulos, Heather M. O'Neill
An Examination Of The Relationship Between Stock Index Cash And Futures Markets: A Cointegration Approach, Michael A. Pizzi, Andrew J. Economopoulos, Heather M. O'Neill
Business and Economics Faculty Publications
The existence of price discovery, market efficiency and market stability associated with spot and futures markets continues as a prominent discussion among academics, practitioners and regulators. Numerous papers examine the role of price discovery in the futures markets for various types of commodities and financial assets. Generally, the studies by Garbade and Silber (1983), Herbst, McCormack and West (1987), Kawaller, Koch and Koch (1987) and Schroeder and Goodwin (1991) indicate that price discovery occurs more significantly in the futures market compared to the cash market.