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Articles 6961 - 6990 of 8681
Full-Text Articles in Entire DC Network
Monetary Policy And Asset Prices In A Small Open Economy: A Factor-Augmented Var Analysis For Singapore, Hwee Kwan Chow, Keen Meng Choy
Monetary Policy And Asset Prices In A Small Open Economy: A Factor-Augmented Var Analysis For Singapore, Hwee Kwan Chow, Keen Meng Choy
Research Collection School Of Economics
The ongoing global financial turmoil has revived the question of whether central bankers ought to tighten monetary policy preemptively in order to head off asset price misalignments before a sudden crash triggers financial instability. This study explores the issue of the appropriate monetary policy response to asset price swings in the small open economy of Singapore. Empirical analysis of monetary policy based on standard VAR models, unfortunately, is often hindered by the use of sparse information sets. To better reflect the extensive information monitored by Singapore’s central bank, including global economic indicators, we augment a monetary VAR model with common …
A Nonparametric Goodness-Of-Fit-Based Test For Conditional Heteroskedasticity, Liangjun Su, Aman Ullah
A Nonparametric Goodness-Of-Fit-Based Test For Conditional Heteroskedasticity, Liangjun Su, Aman Ullah
Research Collection School Of Economics
In this paper we propose a nonparametric test for conditional heteroskedasticity based on a new measure of nonparametric goodness-of-fit (R2). In analogy with the ANOVA tools for classical linear regression models, the nonparametric R2 is obtained for the local polynomial regression of the residuals from a parametric regression on some covariates. It is close to 0 under the null hypothesis of conditional homoskedasticity and stays away from 0 otherwise. Unlike most popular parametric tests in the literature, the new test does not require the correct specification of parametric conditional heteroskedasticity form and thus is able to detect all kinds of …
Localizing Volumetric Motion For Action Recognition In Realistic Videos, Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
Localizing Volumetric Motion For Action Recognition In Realistic Videos, Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
Research Collection School Of Computing and Information Systems
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge can be attributed to the large visual and motion variations imposed by realistic action poses. Previous works mainly focus on learning from descriptors of cuboids around space time interest points (STIP) to characterize actions. The size, shape and space-time position of cuboids are fixed without considering the underlying motion dynamics. This often results in large set of fragmentized cuboids which fail to capture long-term dynamic properties of realistic actions. This paper proposes the detection …
Towards Google Challenge: Combining Contextual And Social Information For Web Video Categorization, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo
Towards Google Challenge: Combining Contextual And Social Information For Web Video Categorization, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Web video categorization is a fundamental task for web video search. In this paper, we explore the Google challenge from a new perspective by combing contextual and social information under the scenario of social web. The semantic meaning of text (title and tags), video relevance from related videos, and user interest induced from user videos, are integrated to robustly determine the video category. Experiments on YouTube videos demonstrate the effectiveness of the proposed solution. The performance reaches 60% improvement compared to the traditional text based classifiers.
Parallel Sets In The Real World: Three Case Studies, Robert Kosara, Caroline Ziemkiewicz, F. Joseph Iii Mako, Tin Seong Kam
Parallel Sets In The Real World: Three Case Studies, Robert Kosara, Caroline Ziemkiewicz, F. Joseph Iii Mako, Tin Seong Kam
Research Collection School Of Computing and Information Systems
Parallel Sets are a visualization technique for categorical data. We recently released an implementation to the public in an effort to make our research useful to real users. This paper presents three case studies of Parallel Sets in use with real data.
Mining Quantified Temporal Rules: Formalism, Algorithms, And Evaluation, David Lo, Ganesan Ramalingam, Venkatesh-Prasad Ranganath, Kapil Vaswani
Mining Quantified Temporal Rules: Formalism, Algorithms, And Evaluation, David Lo, Ganesan Ramalingam, Venkatesh-Prasad Ranganath, Kapil Vaswani
Research Collection School Of Computing and Information Systems
Libraries usually impose constraints on how clients should use them. Often these constraints are not well-documented. In this paper, we address the problem of recovering such constraints automatically, a problem referred to as specification mining. Given some client programs that use a given library, we identify constraints on the library usage that are (almost) satisfied by the given set of clients.The class of rules we target for mining combines simple binary temporal operators with state predicates (involving equality constraints) and quantification. This is a simple yet expressive subclass of temporal properties that allows us to capture many common API usage …
Semantics-Preserving Bag-Of-Words Models For Efficient Image Annotation, Lei Wu, Steven C. H. Hoi, Nenghai Yu
Semantics-Preserving Bag-Of-Words Models For Efficient Image Annotation, Lei Wu, Steven C. H. Hoi, Nenghai Yu
Research Collection School Of Computing and Information Systems
The Bag-of-Words (BoW) model is a promising image representation for annotation. One critical limitation of existing BoW models is the semantic loss during the codebook generation process, in which BoW simply clusters visual words in Euclidian space. However, distance between two visual words in Euclidean space does not necessarily reflect the semantic distance between the two concepts, due to the semantic gap between low-level features and high-level semantics. In this paper, we propose a novel scheme for learning a codebook such that semantically related features will be mapped to the same visual word. In particular, we consider the distance between …
A Surprise Triggered Adaptive And Reactive (Star) Framework For Online Adaptation In Non-Stationary Environments, Truong-Huy Dinh Nguyen, Tze-Yun Leong
A Surprise Triggered Adaptive And Reactive (Star) Framework For Online Adaptation In Non-Stationary Environments, Truong-Huy Dinh Nguyen, Tze-Yun Leong
Research Collection School Of Computing and Information Systems
We consider the task of developing an adaptive autonomous agent that can interact with non-stationary environments. Traditional learning approaches such as Reinforcement Learning assume stationary characteristics over the course of the problem, and are therefore unable to learn the dynamically changing settings correctly. We introduce a novel adaptive framework that can detect dynamic changes due to non-stationary elements. The Surprise Triggered Adaptive and Reactive (STAR) framework is inspired by human adaptability in dealing with daily life changes. An agent adopting the STAR framework consists primarily of two components, Adapter and Reactor. The Reactor chooses suitable actions based on predictions made …
Verifying Stateful Timed Csp Using Implicit Clocks And Zone Abstraction, Jun Sun, Yang Liu, Jin Song Dong, Xian Zhang
Verifying Stateful Timed Csp Using Implicit Clocks And Zone Abstraction, Jun Sun, Yang Liu, Jin Song Dong, Xian Zhang
Research Collection School Of Computing and Information Systems
In this work, we study model checking of compositional real-time systems. A system is modeled using mutable data variables as well as a compositional timed process. Instead of explicitly manipulating clock variables, a number of compositional timed behavioral patterns are used to capture quantitative timing requirements, e.g. delay, timeout, deadline, timed interrupt, etc. A fully automated abstraction technique is developed to build an abstract finite state machine from the model. The idea is to dynamically create/delete clocks, and maintain/solve a constraint on the clocks. The abstract machine weakly bi-simulates the model and, therefore, LTL model checking or trace-refinement checking are …
The Geography Of Hedge Funds, Melvyn Teo
The Geography Of Hedge Funds, Melvyn Teo
Research Collection BNP Paribas Hedge Fund Centre
This article analyzes the relationship between the risk-adjusted performance of hedge funds and their proximity to investments using data on Asian-focused hedge funds. We find, relative to an augmented Fung and Hsieh (2004) factor model, that hedge funds with a physical presence (head or research office) in their investment region outperform other hedge funds by 3.72 percent per year. The local information advantage is pervasive across all major geographical regions, but is strongest for Emerging Market funds and funds holding illiquid securities. These results are robust to adjustments for fund fees, serial correlation, backfill bias, and incubation bias. We show …
Emotional Labor Demands, Wages And Gender: A Within-Person, Between-Jobs Study, Devasheesh P. Bhave, Theresa M. Glomb
Emotional Labor Demands, Wages And Gender: A Within-Person, Between-Jobs Study, Devasheesh P. Bhave, Theresa M. Glomb
Research Collection Lee Kong Chian School Of Business
Although research suggests the important role of gender in emotional labour, its effect on the relationship between emotional labour demands and wages has not been examined explicitly. The current study investigates this relationship by testing hypotheses derived from theories of vocational choice and labour market supply and demand. Hypotheses are tested using a unique within-person, between-jobs longitudinal dataset with information on two jobs for each worker in a national sample of U.S. workers (N=5,488). After controlling for relevant variables related to wages, results suggest men incur wage penalties of approximately 6% when moving to occupations with higher emotional labour demands. …
Reflection As A Strategy To Enhance Task Performance After Feedback, Frederik Anseel, Filip Lievens, Eveline Schollaert
Reflection As A Strategy To Enhance Task Performance After Feedback, Frederik Anseel, Filip Lievens, Eveline Schollaert
Research Collection Lee Kong Chian School Of Business
An unanswered question in employee development is how reflection can be used for improving performance in organizations. Drawing from research and theory on dual-process models, we develop and test a reflection strategy to Stimulate deeper learning after feedback. Results of two studies (N = 640 and N = 488) showed that reflection combined with feedback enhanced performance improvement on a web-based work simulation better than feedback alone. Reflection without feedback did not lead to performance improvement. Further analyses indicated that the proposed reflection strategy was less effective for individuals low in learning goal orientation, low in need for cognition, and …
Mencius: Contexts And Interpretations, Alan Kam Leung Chan
Mencius: Contexts And Interpretations, Alan Kam Leung Chan
Research Collection College of Integrative Studies
Mencius: Contexts and Interpretations. Edited by Alan K. L. Chan. (Honolulu: University of Hawaii Press, 2002. 328 pp.) This is a collection of new essays by various authors. It includes a brief but good introduction to Mencius, the Mencius, and the essays in this collection. There is a general index and an index locorum.
Testing Structural Change In Conditional Distributions Via Quantile Regressions, Liangjun Su, Zhijie Xiao
Testing Structural Change In Conditional Distributions Via Quantile Regressions, Liangjun Su, Zhijie Xiao
Research Collection School Of Economics
We propose tests for structural change in conditional distributions via quantile regressions. To avoid misspecification on the conditioning relationship, we construct the tests based on the residuals from local polynomial quantile regressions. In particular, the tests are based upon the cumulative sums of generalized residuals from quantile regressions and have power against local alternatives at rate n−1/2. We derive the limiting distributions for our tests under the null hypothesis of no structural change and a sequence of local alternatives. The proposed tests apply to a wide range of dynamic models, including time series regressions with m.d.s. errors, as well as …
Void Contracts And The Applicability Of Choice Of Law Clauses To Consequential Restitutionary Claims: Cimb Bank Bhd V Dresdner Kleinwort Ltd [2008] 4 Slr 543, Adeline Swee Ling Chong
Void Contracts And The Applicability Of Choice Of Law Clauses To Consequential Restitutionary Claims: Cimb Bank Bhd V Dresdner Kleinwort Ltd [2008] 4 Slr 543, Adeline Swee Ling Chong
Research Collection Yong Pung How School Of Law
This note examines the Singapore Court of Appeal’s judgment in CIMB Bank Bhd v Dresdner Kleinwort Ltd, focusing specifically on what role, if any, should be played by a choice of law clause contained in a void contract in relation to the restitutionary aftermath of voidness.
The Company And Its Directors As Co-Conspirators, Pey Woan Lee
The Company And Its Directors As Co-Conspirators, Pey Woan Lee
Research Collection Yong Pung How School Of Law
In Nagase Singapore Pte Ltd v Ching Kai Huat and Lim Leong Huat v Chip Hup Hup Kee Construction Pte Ltd, the High Court of Singapore affirmed the proposition that a company may, like a natural person, conspire with its director to inflict harm on a third person even if the latter is its “directing mind and will”. In both cases, the courts’ focus was directed at a conceptual enquiry, ie, whether a company, whose “mind” is the same as that of its director, could properly be said to have “combined” or “agreed” to conspire. This article argues, however, that …
Detecting Automotive Exhaust Gas Based On Fuzzy Inference System, Li. Shujin, Ming Bai, Quan Wang, Bo Chen, Xiaobing Zhao, Ting Yang, Zhaoxia Wang
Detecting Automotive Exhaust Gas Based On Fuzzy Inference System, Li. Shujin, Ming Bai, Quan Wang, Bo Chen, Xiaobing Zhao, Ting Yang, Zhaoxia Wang
Research Collection School Of Computing and Information Systems
This paper proposes a method of detecting automotive exhaust gas based on fuzzy logic inference after analyzing the principle of the infrared automobile exhaust gas analyzer and the influence of the environmental temperature on analyzer. This paper analyses the measurement error caused by environmental temperature, and then makes a non-linear error correction of temperature for the infrared sensor using fuzzy inference. The results of simulation have clearly demonstrated that the proposed fuzzy compensation scheme is better than the non-fuzzy method.
Localized Matching Using Earth Mover's Distance Towards Discovery Of Common Patterns From Small Image Samples, Hung-Khoon Tan, Chong-Wah Ngo
Localized Matching Using Earth Mover's Distance Towards Discovery Of Common Patterns From Small Image Samples, Hung-Khoon Tan, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
This paper proposes a new approach for the discovery of common patterns in a small set of images by region matching. The issues in feature robustness, matching robustness and noise artifact are addressed to delve into the potential of using regions as the basic matching unit. We novelly employ the many-to-many (M2M) matching strategy, specifically with the Earth Mover's Distance (EMD), to increase resilience towards the structural inconsistency from improper region segmentation. However, the matching pattern of M2M is dispersed and unregulated in nature, leading to the challenges of mining a common pattern while identifying the underlying transformation. To avoid …
A Relative Impact Ranking Of Political Studies In Ireland, Kenneth Benoit, Michael Marsh
A Relative Impact Ranking Of Political Studies In Ireland, Kenneth Benoit, Michael Marsh
Research Collection School of Social Sciences
Against a background of the Irish government’s concerns with Key Performance Indicators (KPIs) and the British government’s wishes for a more quantitative Research Assessment Exercise (RAE), our study conducts a relative impact assessment of the study of politics, government, political science, and international relations in Ireland. Impact is measured as citations from the publications of permanent staff in eight Irish politics departments, based on data compiled in April 2008 from two leading academic indexes – ISI’s Web of Science and Scopus – as well as the now popular Google Scholar. We discuss some of the criticisms that naturally arise in …
Managing A Nation's Image During Crisis: A Study Of The Chinese Government's Image Repair Efforts In The “Made In China” Controversy, Peijuan Cai, Lee Pei Ting, Augustine Pang
Managing A Nation's Image During Crisis: A Study Of The Chinese Government's Image Repair Efforts In The “Made In China” Controversy, Peijuan Cai, Lee Pei Ting, Augustine Pang
Research Collection Lee Kong Chian School Of Business
The image of a nation is crucial in the conduct of international relations (Wang, J. (2006). Managing national reputation and international relations in the global era: Public diplomacy revisited. Public Relations Review, 32, 91–96). A favorable image plays a critical role in asserting one's influence (Benoit, W. L., & Brinson, S. L. (1994). AT&T: “Apologies are not enough”. Communication Quarterly, 42, 75–88; Wang, J. (2006). Managing national reputation and international relations in the global era: Public diplomacy revisited. Public Relations Review, 32, 91–96). Often, strategic communication tools like public relations and media diplomacy are used to enhance a nation's image …
Between Innovation And Legitimation-Boundaries And Knowledge Flow In Management Consultancy, Andrew Sturdy, Timothy Adrian Robert Clark, Robin Fincham, Karen Handley
Between Innovation And Legitimation-Boundaries And Knowledge Flow In Management Consultancy, Andrew Sturdy, Timothy Adrian Robert Clark, Robin Fincham, Karen Handley
Research Collection Lee Kong Chian School Of Business
Management consultancy is seen by many as a key agent in the adoption of new management ideas and practices in organizations. Two contrasting views are dominant-consultants as innovators, bringing new knowledge to their clients or as legitimating client knowledge. Those few studies which examine directly the flow of knowledge through consultancy in projects with clients favour the innovator view and highlight the important analytical and practical value of boundaries-consultants as both knowledge and organizational outsiders. Likewise, in the legitimator view, the consultants' role is seen in terms of the primacy of the organizational boundary. By drawing on a wider social …
Efficient Conditional Proxy Re-Encryption With Chosen-Ciphertext Security, Jian Weng, Yanjiang Yang, Qiang Tang, Robert H. Deng
Efficient Conditional Proxy Re-Encryption With Chosen-Ciphertext Security, Jian Weng, Yanjiang Yang, Qiang Tang, Robert H. Deng
Research Collection School Of Computing and Information Systems
Recently, a variant of proxy re-encryption, named conditional proxy re-encryption (C-PRE), has been introduced. Compared with traditional proxy re-encryption, C-PRE enables the delegator to implement fine-grained delegation of decryption rights, and thus is more useful in many applications. In this paper, based on a careful observation on the existing definitions and security notions for C-PRE, we re-formalize more rigorous definition and security notions for C-PRE. We further propose a more efficient C-PRE scheme, and prove its chosen-ciphertext security under the decisional bilinear Diffie-Hellman (DBDH) assumption in the random oracle model. In addition, we point out that a recent C-PRE scheme …
Effects Of International Institutional Factors On Earnings Quality Of Banks, Chee Yeow Lim, Gerald Lobo, Kanagaretnam Kiridaran
Effects Of International Institutional Factors On Earnings Quality Of Banks, Chee Yeow Lim, Gerald Lobo, Kanagaretnam Kiridaran
Research Collection School Of Accountancy
No abstract provided.
Challenges For Estimating Policy Preferences: Announcing An Open Access Archive Of Political Documents, Kenneth Benoit, Thomas Brauninger, Marc Debus
Challenges For Estimating Policy Preferences: Announcing An Open Access Archive Of Political Documents, Kenneth Benoit, Thomas Brauninger, Marc Debus
Research Collection School of Social Sciences
We provide a comparative perspective on the contributions of the special issue with regard to their applied methods and findings. In addition, we discuss problems that arise when using ‘wrong’ or at least ‘incorrect’ versions of election manifestos by presenting replications of estimated policy positions of German parties. We show that the latter can result in biased estimates that may affect the outcome of theoretical models. On the basis of those findings, we present the idea of the open access archive polidoc.net to build up a common database for political texts.
Simulation-Based Estimation Of Contingent-Claims Prices, Peter C. B. Phillips, Jun Yu
Simulation-Based Estimation Of Contingent-Claims Prices, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
A new methodology is proposed to estimate theoretical prices of financial contingent claims whose values are dependent on some other underlying financial assets. In the literature, the preferred choice of estimator is usually maximum likelihood (ML). ML has strong asymptotic justification but is not necessarily the best method in finite samples. This paper proposes a simulation-based method. When it is used in connection with ML, it can improve the finite-sample performance of the ML estimator while maintaining its good asymptotic properties. The method is implemented and evaluated here in the Black-Scholes option pricing model and in the Vasicek bond and …
Why Quants Fail, M. Thulasidas
Why Quants Fail, M. Thulasidas
Research Collection School Of Computing and Information Systems
Mathematical finance is built on a couple of assumptions. The most fundamental of them is the one on ma ket efficiency. It states that the market prices every asset fairly, and that the prices contain all the information available in the market.
Visible Reverse K-Nearest Neighbor Query Processing In Spatial Databases, Yunjun Gao, Baihua Zheng, Gencai Chen, Wang-Chien Lee, Ken C. K. Lee, Qing Li
Visible Reverse K-Nearest Neighbor Query Processing In Spatial Databases, Yunjun Gao, Baihua Zheng, Gencai Chen, Wang-Chien Lee, Ken C. K. Lee, Qing Li
Research Collection School Of Computing and Information Systems
Reverse nearest neighbor (RNN) queries have a broad application base such as decision support, profile-based marketing, resource allocation, etc. Previous work on RNN search does not take obstacles into consideration. In the real world, however, there are many physical obstacles (e.g., buildings) and their presence may affect the visibility between objects. In this paper, we introduce a novel variant of RNN queries, namely, visible reverse nearest neighbor (VRNN) search, which considers the impact of obstacles on the visibility of objects. Given a data set P, an obstacle set O, and a query point q in a 2D space, a VRNN …
Communication-Efficient Classification In P2p Networks, Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi
Communication-Efficient Classification In P2p Networks, Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
Distributed classification aims to learn with accuracy comparable to that of centralized approaches but at far lesser communication and computation costs. By nature, P2P networks provide an excellent environment for performing a distributed classification task due to the high availability of shared resources, such as bandwidth, storage space, and rich computational power. However, learning in P2P networks is faced with many challenging issues; viz., scalability, peer dynamism, asynchronism and fault-tolerance. In this paper, we address these challenges by presenting CEMPaR—a communication-efficient framework based on cascading SVMs that exploits the characteristics of DHT-based lookup protocols. CEMPaR is designed to be robust …
Institutional Investors And The Informational Efficiency Of Prices, Ekkehart Boehmer, Eric K. Kelley
Institutional Investors And The Informational Efficiency Of Prices, Ekkehart Boehmer, Eric K. Kelley
Research Collection Lee Kong Chian School Of Business
Using a broad panel of NYSE-listed stocks between 1983 and 2004, we study the relation between institutional shareholdings and the relative informational efficiency of prices, measured as deviations from a random walk. Stocks with greater institutional ownership are priced more efficiently, and we show that variation in liquidity does not drive this result. One mechanism through which prices become more efficient is institutional trading activity, even when institutions trade passively. But efficiency is also directly related to institutional holdings, even after controlling for institutional trading, analyst coverage, short selling, variation in liquidity, and firm characteristics.
Remarks, More Remarks And A Grounds Of Decision: One Judgment Too Many? Tt Durai V Public Prosecutor, Unreported Magistrate's Appeal, S. Chandra Mohan
Remarks, More Remarks And A Grounds Of Decision: One Judgment Too Many? Tt Durai V Public Prosecutor, Unreported Magistrate's Appeal, S. Chandra Mohan
Research Collection Yong Pung How School Of Law
In May 2008, the High Court dismissed the appeal of former NKF CEO, T T Durai, against his conviction and sentence. What is little known is that one of Durai's six grounds of appeal was in fact upheld. The appellate judge subsequently devoted nine out of 12 paragraphs of his four-page Grounds of Decision, to explain is reasons for doing so. Although this ruling did not affect the final outcome of the Durai appeal, it has to some extent helped to settle a question that has vexed criminal law practitioners in recent years. This concerns the legality and propriety of …