Search results

We examine the aggregate price trend of the Greek housing market from a behavioral perspective.

We construct a behavioral real estate sentiment index, based on relevant real estate search terms from Google Trends and websites, and examine its association with real estate price distributions and trends. By employing EGARCH(1,1) on the New Apartments Index data from the Bank of Greece, we capture real estate price volatility and asymmetric effects resulting from changes in the real estate search index. Enhancing robustness, macroeconomic variables are added to the mean equation. Additionally, a run test assesses the efficiency of the Greek housing market.

The results show a significant relationship between the Greek housing market and our real estate sentiment index; an increase (decrease) in search activity, indicating a growing interest in the real estate market, is strongly linked to potential increases (decreases) in real estate prices. These results remain robust across various estimation procedures and control variables. These findings underscore the influential role of real estate sentiment on the Greek housing market and highlight the importance of considering behavioral factors when analyzing and predicting trends in the housing market.

To investigate the behavioral effect on the Greek housing market, we construct our behavioral pattern indexes using Google search-based sentiment data from Google Trends. Additionally, we incorporate the Google Trend index as an explanatory variable in the EGARCH mean equation to evaluate the influence of online search behavior on the dynamics and prices of the Greek housing market.

This work aims at designing an indicator for detecting and forecasting price volatility and speculative bubbles in three markets dealing with agricultural and soft commodities, i.e. Intercontinental Exchange Futures market Europe, (IFEU), Intercontinental Exchange Futures market United States (IFUS) and Chicago Board of Trade (CBOT). This indicator, designed as a demand/supply odds ratio, intends to overcome the subjectivity limits embedded in sentiment indexes as the Bull and Bears ratio by the Bank of America Merrill Lynch.

Data evidence allows for the parameter estimation of a Jacobi diffusion process that models the demand share and leads the forecast of speculative bubbles and realised volatility. Validation of outcomes is obtained through the dynamic regression with autoregressive integrated moving average (ARIMA) error. Results are discussed in comparison with those from the traditional generalized autoregressive conditional heteroskedasticity (GARCH) models. The database is retrieved from Thomson Reuters DataStream (nearby futures daily frequency).

The empirical analysis shows that the indicator succeeds in capturing the trend of the observed volatility in the future at medium and long-time horizons. A comparison of simulations results with those obtained with the traditional GARCH models, usually adopted in forecasting the volatility trend, confirms that the indicator is able to replicate the trend also providing turning points, i.e. additional information completely neglected by the GARCH analysis.

The authors' commodity demand as discrete-time process is capable of replicating the observed trend in a continuous-time framework, as well as turning points. This process is suited for estimating behavioural parameters of the agents, i.e. long-term mean, speed of mean reversion and herding behaviour. These parameters are used in the forecast of speculative bubbles and realised volatility.

There is no research on understanding the difference in the nature of volatility and what it entails for the underlying relationship between foreign institutional investors (FII) flows and stock market movements. The purpose of this paper is to explore how permanent and transitory shocks dominate the common movement between FII flows and the stock market returns. As emerging markets are a major destination of international portfolio investments, the author uses India as a perfect case study to this end.

The paper uses the permanent-transitory as well as a trend-cycle decomposition approach to gain further insights into the common movement between foreign institutional investors (FII) flows and the stock market.

When the author identifies innovations based on their degree of persistence, transitory shocks dominate stock returns, whereas permanent shocks explain movements in foreign institutional investors (FII) flows. Also, stock returns have a larger cyclical component compared to cycles in foreign flows. The authors find the sharp downward (upward) movement in the stock market (FII flows) cycle in the initial period of the COIVD-19 pandemic was quickly reversed and currently, the stock market (FII flows) is historically above (below) the long-term trend, hinting at a correction in months ahead. The authors find strikingly similar stock market cycles during the global financial crisis and COVID-19 period.

Evidence suggests the presence of long stock market cycles – substantial and persistent deviations of actual price from its fundamental (trend) value determined by the shared relationship with foreign flows. This refutes the efficient market hypothesis and makes a case favoring diversification gains from investing in India. Further, transitory shocks dominate the forecast error of stock market movements. Thus, the Indian market provides profit opportunities to foreign investors who use a momentum-based strategy. The author also finds support for the positive feedback trading strategy used by foreign investors.

There is a need for policymakers to account for the foreign undercurrents while formulating economic policies, given the findings that it is the permanent shocks that mostly explain movements in foreign institutional flows. Further, the author finds only stock markets error-correct in response to any short-term shocks to the shared long-term relationship, highlighting the disruptive (though transitory) role of FII flows.

Unlike existing studies, the author models the relationship between stock market returns and foreign institutional investors (FII) flows by distinguishing between the permanent and transitory movements in these two variables. Ignoring this distinction, as done in existing literature, can affect the soundness of the estimated parameter that captures the nexus between these two variables. In addition, while it may be common to find that stock market returns and FII flows move together, the paper further contributes by decomposing each variable into a trend and a cycle using this shared relationship. The paper also contributes to understanding the impact of COVID-19 on this relationship.

Improving the commercial success rate of innovations requires alternative approaches based on social science methodologies for identifying subtle, emerging changes in consumer needs and behaviors. The purpose of this paper is to address this call by proposing trend spotting to guide innovation researchers and service managers towards innovations that are more in accordance with emerging consumer needs.

The authors develop, describe, and employ a methodology for trend spotting to derive eight consumer trends that will have a strong influence on their choices. To provide further insights into these trends, the authors label and describe three customer segments as a function of life-cycle. The goal is to provide a framework for identifying innovations that are of higher value consumers.

The authors identified eight consumer trends, i.e. Always on the go, Always logged-in, Quality information faster, Nowism, Look at me now, Privacy, Sustainable living, and return on time (RoT), present across the three life-stage segments, i.e. Young free and single, Chaos in my life, and Got my life back.

For illustration purpose, the authors elaborate on the trend RoT and employ their findings and framework to illustrate how the airline industry may derive ideas for valuable innovations.

To the best of the authors’ knowledge, this is the first time trend spotting has been employed in the field of service marketing and service innovations.

The paper examines the birth of trend forecasting in the USA and position trend forecasters and professional futurists within the wider history of marketing, market research and advertising.

The study is based upon archival research, interviews and close readings of primary and secondary literature.

Trend forecasters split from traditional market and opinion research in the early 1970s, as concerns about the future became paramount for businesses. At this time, entrepreneurial trend forecasters such as Faith Popcorn started firms, adopting futurological methods to make predictions about the future of culture. The field continued to grow into the 1990s as it developed or modified a host of mostly qualitative research methods, including environmental scanning, consumer ethnography and scenarios. Trend forecasting reveals the complexity of the relationship between business and “the future” and how trends aimed to predict as well as direct that future.

The article is among the first academic treatments of trend forecasting, drawn from original interviews and exclusively accessed archival research. It contributes to a theory and a history of the concept of a trend, which is understood here as a way to package the movement of culture as sellable. It likewise offers a unique exploration of the relationship between futurology and business.

Reports the highlights of a study designed to describe certain relationships between sales trends and advertising and price patterns for nine Canadian grocery markets from 1958 to 1967. Uses the results of the study to illustrate several characteristics of modern competition and marketing, their implications for current thinking about the examine role of advertising and the applicability of the product life cycle in this context.

The purpose of this paper is to determine whether the quality and reliability of websites’ content can be assessed through the lens of “wisdom of the crowds”. In particular as a case study the authors examine the information supplied over time on several prominent Israeli real estate websites.

The Israeli real estate market was selected for the study, since there are many large, popular and dynamic real estate websites that feature hundreds of thousands of ads, representing most of the supply of real estate properties in the country. The authors built an automatic, ontology-based system that downloaded advertisements from three selected websites every two weeks for a number of months and checked for changes in these advertisements over time. The authors conjecture that wisdom of the crowds is mostly reflected by the information changes on the websites, since they indicate the anticipated market trends. Hence the authors developed a number of statistical measures to comparatively analyse trends of information changes on these websites, and assess their reliability compared to the actual market data and tendencies.

The primary results suggest similar information change trends amongst all the websites. Surprisingly, although some properties did not sell over time, sellers generally did not lower their asking price and were willing to wait. Sellers even raised their asking price, apparently in anticipation of future price increases. Comparison of recurring trends among the websites with the trends of the real market during the same time period and a few months after reveals that wisdom of the crowds is only partially effective as an indicator and predictor of website content quality: it correctly reflects the fluctuation in demand, but not in the prices.

This study was conducted over a limited time period of five months, and only in several cities in Israel. Additionally, since buyers are not explicitly represented in these sites, their information behaviour was not analysed, although it undoubtedly influences information changes performed by the sellers.

The practical contribution of this study is the ontology of the real estate world. Its assimilation by real estate websites would promote the development of their sites and user services. It would also enable ad sharing amongst the various websites and enable efficient searches by search engines. In addition the tools and measures that the authors developed will allow continued monitoring and analysis of user information change patterns.

To the best of the knowledge this is the first study to examine and compare real estate websites’ quality and evaluate their information reliability as wisdom of the crowds.

The Large Scale Engineering (LSE) industry operates in a global market place and during recent years it has been the scene of major political and economic changes resulting in increasing market pressures. The paper outlines findings from Workpackage 1 of the European Union funded Esprit eLSEwise project. The eLSEwise project has an objective of contributing to improving the competitiveness of the European LSE industry. The paper focuses principally on trends in the LSE global industry market place and the challenges facing European LSE contractors in adapting to these changes. The paper outlines the research methodology; world market trends and LSE industry structure; critical success factors and enablers for LSE projects; the forces shaping the LSE industry and the necessary contractors' core competencies and competitive advantages for continued success.

Questions the general assumption that once known, market trends will guide marketing strategies and behaviour. Argues that if marketers seriously want to find opportunities for new products, they need two things: (1) insightful analysis and data interpretation, and (2) a willingness to break new ground, a determination to be different, and a commitment to be a winner. Examines a number of recent demographic and technological trends to demonstrate how they can mislead marketers.

The current state of the financial services industry worldwide and recent literature on the subject are reviewed. Four major trends are identified and discussed: (1) the trend towards financial conglomeration; (2) globalisation; (3) information technology in bank marketing; and (4) new approaches to financial services marketing. These trends will affect the marketing of banks and other financial services in the 1990s. Areas for further research are also highlighted.