Her primary areas of investigation include Monetary economics, Equity, Econometrics, Mutual fund and Institutional investor. Her studies deal with areas such as Capital, Diversification and Finance as well as Monetary economics. Her work on Cash flow, Keiretsu and Multinational corporation as part of general Finance study is frequently linked to Conventional wisdom and Empirical evidence, bridging the gap between disciplines.
Her work on Autoregressive conditional heteroskedasticity as part of general Econometrics study is frequently connected to Causality, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Lilian K. Ng combines subjects such as Closed-end fund and Financial system with her study of Mutual fund. In her work, Volatility is strongly intertwined with Momentum, which is a subfield of Institutional investor.
Lilian K. Ng focuses on Monetary economics, Equity, Financial economics, Finance and Econometrics. Market liquidity is the focus of her Monetary economics research. Her Market liquidity research is multidisciplinary, incorporating perspectives in Multinational corporation and Keiretsu.
Her Equity research integrates issues from Cash and Cash flow. Her research in Finance intersects with topics in Manager of managers fund and Fund of funds. Her Econometrics study integrates concerns from other disciplines, such as Stock market and Autocorrelation.
Her primary areas of study are Emerging markets, Financial integration, Economic integration, Market integration and Supply chain. She regularly ties together related areas like Equity in her Emerging markets studies. Her work carried out in the field of Financial integration brings together such families of science as Volatility, Financial economics and Financial system.
Her work in Volatility covers topics such as Sample which are related to areas like Cash flow. Her work deals with themes such as Valuation and Operational efficiency, which intersect with Supply chain. Her work in the fields of Monetary economics, such as Market liquidity, overlaps with other areas such as Insider.
Lilian K. Ng spends much of her time researching Financial economics, Market integration, Emerging markets, Economic integration and Equity. Lilian K. Ng has included themes like Insider trading, Price efficiency and Financial integration in her Financial economics study. Her Market integration research spans across into areas like Field, Empirical research, International finance, Regional science and Estimation.
Her study ties her expertise on Monetary economics together with the subject of Equity.
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What Determines the Domestic Bias and Foreign Bias? Evidence from Mutual Fund Equity Allocations Worldwide
Kalok Chan;Vicentiu Covrig;Lilian Ng.
Journal of Finance (2005)
What Determines the Domestic Bias and Foreign Bias? Evidence from Mutual Fund Equity Allocations Worldwide
Kalok Chan;Vicentiu Covrig;Lilian Ng.
Journal of Finance (2005)
The Foreign Exchange Exposure of Japanese Multinational Corporations
Jia He;Lilian K Ng.
The African Journal of Finance and Management (1999)
The Foreign Exchange Exposure of Japanese Multinational Corporations
Jia He;Lilian K Ng.
The African Journal of Finance and Management (1999)
A causality-in-variance test and its application to financial market prices
Yin-Wong Cheung;Lilian K. Ng.
Journal of Econometrics (1996)
A causality-in-variance test and its application to financial market prices
Yin-Wong Cheung;Lilian K. Ng.
Journal of Econometrics (1996)
International evidence on the stock market and aggregate economic activity
Yin-Wong Cheung;Lilian K. Ng.
Journal of Empirical Finance (1998)
International evidence on the stock market and aggregate economic activity
Yin-Wong Cheung;Lilian K. Ng.
Journal of Empirical Finance (1998)
Stock Price Dynamics and Firm Size: An Empirical investigation
Yin-Wong Cheung;Lilian K. Ng.
Journal of Finance (1992)
Stock Price Dynamics and Firm Size: An Empirical investigation
Yin-Wong Cheung;Lilian K. Ng.
Journal of Finance (1992)
Asia-Pacific Journal of Financial Studies
(Impact Factor: 1.463)
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