Econometrics meets sentiment : an overview of methodology and applications

The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis of the relationships between sentiment and other variables. We survey this emerging research field and refer to it as sentometrics, which is a portmanteau of sentiment and econometrics. We provide a synthesis of the relevant methodological approaches, illustrate with empirical results, and discuss useful software

The role and nature of market sentiment in the 1992 ERM crisis.

This paper attempts to explain the importance of the role of the speculators in determining the 1992 ERM crisis, and the effects that the policy of maintaining external parity had on internal growth. We focus on a different way through which expectations are formed about the macroeconomic fundamentals independently of the behaviour of the monetary policy. In the present model, agents’ rational beliefs do not emerge from arbitrary circumstances but only when the value of the exchange rate, kept under control by the central bank, did not correspond to the expected value and to the current wide-spread beliefs in the market

Privacy or publicity - who drives the wheel?

Financial markets are to a very large extent influenced by the advent of information. Such disclosures, however, do not only contain information about fundamentals underlying the markets, but they also serve as a focal point for the beliefs of market participants. This dual role of information gains further importance for explaining the development of asset valuations when taking into account that information may be perceived individually (private information), or may be commonly shared by all traders (public information). This study investigates into the recently developed theoretical structures explaining the operating mechanism of the two types of information and emphasizes the empirical testability and differentiation between the role of private and public information. Concluding from a survey of experimental studies and own econometric analyses, it is argued that most often public information dominates private information. This finding justifies central bankers´ unease when disseminating news to the markets and argues against the recent trend of demanding full transparency both for financial institutions and financial markets themselves

The Role of Information Disparity in the 1994/95 Mexican Peso

In the Mexican Peso crisis 1994/95, the lack of readily available information, particularly regarding monetary aggregates, has often been commented on. This paper analyzes empirically whether information disparity with respect to economic fundamentals contributed to the crisis. Using historical forecast data collected by Consensus Economics, we show that uncertainties, as measured by the forecast variation, significantly influenced the pressure on the fixed Peso rate. This effect is additional to the one that actual and expected fundamentals had on the exchange rate pressure. Furthermore, the impact of information disparity is found to be contingent on the market expectation about fundamentals. It seems that the central bank's strategy of not publicly disclosing information was detrimental for the very reason that the market sentiment was generally optimistic with regard to the monetary development.Currency Crisis, Speculative Attack, Private and Public Information, Transparency

Privacy or Publicity - Who Drives the Wheel?

Financial markets are to a very large extent influenced by the advent of information. Such disclosures, however, do not only contain information about fundamentals underlying the markets, but they also serve as a focal point for the beliefs of market participants. This dual role of information gains further importance for explaining the development of asset valuations when taking into account that information may be perceived individually (private information), or may be commonly shared by all traders (public information). This study investigates into the recently developed theoretical structures explaining the operating mechanism of the two types of information and emphasizes the empirical testability and differentiation between the role of private and public information. Concluding from a survey of experimental studies and own econometric analyses, it is argued that most often public information dominates private information. This finding justifies central bankers’ unease when disseminating news to the markets and argues against the recent trend of demanding full transparency both for financial institutions and financial markets themselves.Private information, public information, transparency, beliefs, coordination, financial crises

The Value Relevance of Sentiment

It is generally accepted that excessive exuberance or gloom in investor sentiment contributes to booms and crashes in share prices. However, views differ on the merits of active policy intervention due to gaps in our understanding of the transmission mechanism. To fill this gap we apply a fully ex ante valuation model in which an index of investor sentiment is included along with earnings and growth fundamentals to explain value. The outcome is a precise indication of the value relevance of sentiment. We employ the investor sentiment indicator proposed by Baker and Wurgler (2007). Valuation, and implied permanent growth, based on the inclusion of standard fundamentals is compared with that obtained when sentiment is added. The resulting ratio produces an index of ’the valuation effects of sentiment’ that can be assessed with statistical significance. Out-of-sample fit is also examined. For the Dow index the valuation effects of sentiment are significant and as large as 40% of market value at the peak of the ’dot-com’ bubble. The index we propose identifies conditions, detectable in advance and under the control of policy makers, that are conducive to the creation of asset bubbles. It is easy to construct, timely, robust and can be used improve our understanding of what leads to bubbles and crashes and to inform policy.Bubbles, fundamental valuation, sentiment, early warning indicators

The Role of Text Pre-processing in Sentiment Analysis

It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining. Mining online opinion is a form of sentiment analysis that is treated as a difficult text classification task. In this paper, we explore the role of text pre-processing in sentiment analysis, and report on experimental results that demonstrate that with appropriate feature selection and representation, sentiment analysis accuracies using support vector machines (SVM) in this area may be significantly improved. The level of accuracy achieved is shown to be comparable to the ones achieved in topic categorisation although sentiment analysis is considered to be a much harder problem in the literature