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1 – 10 of over 5000
Article
Publication date: 10 September 2021

Prajwal Eachempati and Praveen Ranjan Srivastava

This study aims to develop two sentiment indices sourced from news stories and corporate disclosures of the firms in the National Stock Exchange NIFTY 50 Index by extracting…

Abstract

Purpose

This study aims to develop two sentiment indices sourced from news stories and corporate disclosures of the firms in the National Stock Exchange NIFTY 50 Index by extracting sentiment polarity. Subsequently, the two indices would be compared for the predictive accuracy of the stock market and stock returns during the post-digitization period 2011–2018. Based on the findings this paper suggests various options for financial strategy.

Design/methodology/approach

The news- and disclosure-based sentiment indices are developed using sentiment polarity extracted from qualitative content from news and corporate disclosures, respectively, using qualitative analysis tool “N-Vivo.” The indices developed are compared for stock market predictability using quantitative regression techniques. Thus, the study is conducted using both qualitative data and tools and quantitative techniques.

Findings

This study shows that the investor is more magnetized to news than towards corporate disclosures though disclosures contain both qualitative as well as quantitative information on the fundamentals of a firm. This study is extended to sectoral indices, and the results show that specific sectoral news impacts sectoral indices intensely over market news. It is found that the market discounts information in disclosures prior to its release. As disclosures in quarterly statements are delayed information input, firms can use voluntary disclosures to reduce the communication gap with investors by using the internet. Managers would do so only when the stock price is undervalued and tend to ignore the market and the shareholder in other cases. Otherwise, disclosure sentiment attracts only long horizon traders.

Practical implications

Finance managers need to improve disclosure dependence on investors by innovative disclosure methodologies irrespective of the ruling market price. In this context, future studies on investor sentiment would be interesting as they need to capture man–machine interactions reflected in market sentiment showing the interplay of human biases with machine-driven decisions. The findings would be useful in developing the financial strategy for protecting firm value.

Originality/value

This study is unique in providing a comparative analysis of sentiment extracted from news and corporate disclosures for explaining the stock market direction and stock returns and contributes to the behavioral finance literature.

Details

Qualitative Research in Financial Markets, vol. 14 no. 1
Type: Research Article
ISSN: 1755-4179

Keywords

Article
Publication date: 1 March 2005

Giuseppe Bruno, Emilio Esposito, Michele Mastroianni and Daniela Vellutino

A vast amount of literature has highlighted that accessibility is becoming crucial in evaluating e-procurement web site effectiveness. In this context, this paper shows some…

Abstract

A vast amount of literature has highlighted that accessibility is becoming crucial in evaluating e-procurement web site effectiveness. In this context, this paper shows some results of multidisciplinary research whose aim is to identify a model to evaluate e-procurement web site accessibility. The specific goal is to identify a group of web site attributes and characteristics that can be measured using quantitative indicators. For this purpose, a model based on a three-level hierarchical system has been introduced. The proposed model has been used to evaluate three Italian public e-procurement web sites. Finally, the conclusions and some indications on future developments of research are illustrated.

Details

Journal of Public Procurement, vol. 5 no. 3
Type: Research Article
ISSN: 1535-0118

Article
Publication date: 6 March 2009

Kimmo Kettunen

The purpose of this article is to discuss advantages and disadvantages of various means to manage morphological variation of keywords in monolingual information retrieval.

Abstract

Purpose

The purpose of this article is to discuss advantages and disadvantages of various means to manage morphological variation of keywords in monolingual information retrieval.

Design/methodology/approach

The authors present a compilation of query results from 11 mostly European languages and a new general classification of the language dependent techniques for management of morphological variation. Variants of the different techniques are compared in some detail in terms of retrieval effectiveness and other criteria. The paper consists mainly of an overview of different management methods for keyword variation in information retrieval. Typical IR retrieval results of 11 languages and a new classification for keyword management methods are also presented.

Findings

The main results of the paper are an overall comparison of reductive and generative keyword management methods in terms of retrieval effectiveness and other broader criteria.

Originality/value

The paper is of value to anyone who wants to get an overall picture of keyword management techniques used in IR.

Details

Journal of Documentation, vol. 65 no. 2
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 1 March 1994

Christopher Fleet

The article describes a project undertaken at the National Library of Wales to compare automated systems for the storage and retrieval of historic cartographic records. The…

Abstract

The article describes a project undertaken at the National Library of Wales to compare automated systems for the storage and retrieval of historic cartographic records. The selection and purchase of software, cataloguing of a representative sample of historic cartographic materials, system customisation and data input is outlined. Following the evaluation of systems, conclusions are drawn for future automated map catalogue development.

Details

Program, vol. 28 no. 3
Type: Research Article
ISSN: 0033-0337

Article
Publication date: 25 May 2012

Robert Fox

The purpose of this column is to explore methods in which information professionals can contribute to the intelligence of open discovery systems.

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Abstract

Purpose

The purpose of this column is to explore methods in which information professionals can contribute to the intelligence of open discovery systems.

Design/methodology/approach

This is a conceptual column based on experience in this field and a review of the relevant literature.

Findings

There are several ways in which information professionals can contribute to make their discovery systems more robust through careful semantic analysis.

Originality/value

This column explores ways in which the fields of linguistics, semantic analysis, semiotics, and web ontologies can assist information professionals in building responsive and robust back end indexing systems that can be coupled to front end open discovery frameworks.

Details

OCLC Systems & Services: International digital library perspectives, vol. 28 no. 2
Type: Research Article
ISSN: 1065-075X

Keywords

Article
Publication date: 1 April 1973

F.W. Matthews and A.D. Shillingford

KWIC—Key Word In Context—is a form of automatic indexing using computers. It is automatic in the sense that the computer system determines the indexing from free text input. Luhn…

Abstract

KWIC—Key Word In Context—is a form of automatic indexing using computers. It is automatic in the sense that the computer system determines the indexing from free text input. Luhn first described the method in which text of a length which can be accommodated on a single line of print is indexed at the centre of the page, the words that precede and follow the indexing keyword being displayed on the same line. As a control device a list of words for which no indexing entry should be made is stored in the computer program. This list, often referred to as a ‘stop list’, includes the articles, conjunctions and commonly occurring trivial words which do not form useful indexing entries. Less frequently occurring ‘useless’ entries are carried, but at little cost and with little damage to the usefulness of the index. The system is often referred to as quick and dirty: quick in that it is cheap to run, easy to prepare and not demanding of intellectual decisions at input; dirty in that useless entries will appear in the index, and, since the indexing vocabulary is uncontrolled, the user must consider alternative words that may express the concept for which he is searching. When the input is prepared in‐house a number of control features can be used to supplement the stop list to make the index more effective but requiring more thought at input. This paper concerns a number of such added control features.

Details

Aslib Proceedings, vol. 25 no. 4
Type: Research Article
ISSN: 0001-253X

Article
Publication date: 14 July 2023

Hamid Hassani, Azadeh Mohebi, M.J. Ershadi and Ammar Jalalimanesh

The purpose of this research is to provide a framework in which new data quality dimensions are defined. The new dimensions provide new metrics for the assessment of lecture video…

87

Abstract

Purpose

The purpose of this research is to provide a framework in which new data quality dimensions are defined. The new dimensions provide new metrics for the assessment of lecture video indexing. As lecture video indexing involves various steps, the proposed framework containing new dimensions, introduces new integrated approach for evaluating an indexing method or algorithm from the beginning to the end.

Design/methodology/approach

The emphasis in this study is on the fifth step of design science research methodology (DSRM), known as evaluation. That is, the methods that are developed in the field of lecture video indexing as an artifact, should be evaluated from different aspects. In this research, nine dimensions of data quality including accuracy, value-added, relevancy, completeness, appropriate amount of data, concise, consistency, interpretability and accessibility have been redefined based on previous studies and nominal group technique (NGT).

Findings

The proposed dimensions are implemented as new metrics to evaluate a newly developed lecture video indexing algorithm, LVTIA and numerical values have been obtained based on the proposed definitions for each dimension. In addition, the new dimensions are compared with each other in terms of various aspects. The comparison shows that each dimension that is used for assessing lecture video indexing, is able to reflect a different weakness or strength of an indexing method or algorithm.

Originality/value

Despite development of different methods for indexing lecture videos, the issue of data quality and its various dimensions have not been studied. Since data with low quality can affect the process of scientific lecture video indexing, the issue of data quality in this process requires special attention.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 4 April 2016

Suzan Abed, Basil Al-Najjar and Clare Roberts

This paper aims to investigate empirically the common alternative methods of measuring annual report narratives. Five alternative methods are employed, a weighted and un-weighted…

1950

Abstract

Purpose

This paper aims to investigate empirically the common alternative methods of measuring annual report narratives. Five alternative methods are employed, a weighted and un-weighted disclosure index and three textual coding systems, measuring the amount of space devoted to relevant disclosures.

Design/methodology/approach

The authors investigate the forward-looking voluntary disclosures of 30 UK non-financial companies. They employ descriptive analysis, correlation matrix, mean comparison t-test, rankings and multiple regression analysis of disclosure measures against determinants of corporate voluntary reporting.

Findings

The results reveal that while the alternative methods of forward-looking voluntary disclosure are highly correlated, important significant differences do nevertheless emerge. In particular, it appears important to measure volume rather than simply the existence or non-existence of each type of disclosure. Overall, we detect that the optimal method is content analysis by text-unit rather than by sentence.

Originality/value

This paper contributes to the extant literature in forward-looking disclosure by reporting important differences among alternative content analyses. However, the decision regarding whether this should be a computerised or a manual content analysis appears not to be driven by differences in the resulting measures. Rather, the choice is the outcome of a trade-off between the time involved in setting up coding rules for computerised analysis versus the time saved undertaking the analysis itself.

Details

Managerial Auditing Journal, vol. 31 no. 4/5
Type: Research Article
ISSN: 0268-6902

Keywords

Article
Publication date: 1 April 2014

Valentin Penca, Siniša Nikolić, Dragan Ivanović, Zora Konjović and Dušan Surla

The main aim of this paper is to develop a CRIS systems search profile that would enable CRIS users to perform unified and semantically rich search for the records stored in the…

Abstract

Purpose

The main aim of this paper is to develop a CRIS systems search profile that would enable CRIS users to perform unified and semantically rich search for the records stored in the CRIS systems.

Design/methodology/approach

Prior to the search profile construction, diverse representative types of the scientific research data store systems (CRISs, digital libraries, institutional repositories, and search portals) were analyzed versus available search modes, indexes and query types.

Findings

The new SRU/W standard based search profile (CRIS profile) for the purpose of searching scientific research data was proposed, that supports search for all types of data identified through an exhaustive analysis covering all major scientific and research data store systems.

Research limitations/implications

Constraints of the proposed profile could appear from the fact that data identified in analyzed systems do not comprise all scientific research data recognized by CERIF standard which, in turn, could call for the profile extension.

Practical implications

Search profile has been verified on the data in the existing CRIS systems at the University of Novi Sad. The CRIS search profile enables unified and semantically rich search for the data stored in heterogeneous distributed scientific research data store systems.

Originality/value

The new SRU/W-based search profile extensively supports the search domain of scientific research data in CRIS systems. Commitments to SRU/W and CQL standards enable interoperability among heterogeneous, distributed scientific research data sources.

Details

Program, vol. 48 no. 2
Type: Research Article
ISSN: 0033-0337

Keywords

Article
Publication date: 13 February 2024

Elena Fedorova and Polina Iasakova

This paper aims to investigate the impact of climate change news on the dynamics of US stock indices.

87

Abstract

Purpose

This paper aims to investigate the impact of climate change news on the dynamics of US stock indices.

Design/methodology/approach

The empirical basis of the study was 3,209 news articles. Sentiment analysis was performed by a pre-trained bidirectional FinBERT neural network. Thematic modeling is based on the neural network, BERTopic.

Findings

The results show that news sentiment can influence the dynamics of stock indices. In addition, five main news topics (finance and politics natural disasters and consequences industrial sector and Innovations activism and culture coronavirus pandemic) were identified, which showed a significant impact on the financial market.

Originality/value

First, we extend the theoretical concepts. This study applies signaling theory and overreaction theory to the US stock market in the context of climate change. Second, in addition to the news sentiment, the impact of major news topics on US stock market returns is examined. Third, we examine the impact of sentimental and thematic news variables on US stock market indicators of economic sectors. Previous works reveal the impact of climate change news on specific sectors of the economy. This paper includes stock indices of the economic sectors most related to the topic of climate change. Fourth, the research methodology consists of modern algorithms. An advanced textual analysis method for sentiment classification is applied: a pre-trained bidirectional FinBERT neural network. Modern thematic modeling is carried out using a model based on the neural network, BERTopic. The most extensive topics are “finance and politics of climate change” and “natural disasters and consequences.”

Details

The Journal of Risk Finance, vol. 25 no. 2
Type: Research Article
ISSN: 1526-5943

Keywords

1 – 10 of over 5000