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This study aims to establish the shape of investment dynamics in equity crowdfunding to better understand backer behavior.

This study provides insights into when backers invest in successful funding campaigns. It uses t-tests to compare differences in means between observation windows during successful funding campaigns. It is based on 4,938 transactions from 61 campaigns, focusing on the first and last tail ends.

In contrast to previous findings, the current investment dynamics seem more U-shaped than L-shaped. This supports previous findings about a strong start but also suggests a late collective attention effect. The strength is higher at the first tail end. However, differences in the later tail ends are statistically significant and emphasize the presence of late investment activities, especially in crowded or less complex campaigns.

These findings emphasize the importance of signaling during the entire funding window. This encourages platforms to invest in user-friendly functionalities that guide entrepreneurs and help backers when investing in successful campaigns.

This study improves the understanding of backer behavior and suggests changing investment dynamics in equity crowdfunding. In addition, this pattern contrasts with previous findings on dynamic collective attention effects in rich digitally informative markets, implying two attention effects when uncertainty is high.

The purpose of this study is firm value management through corporate finance policy design and scenario analysis to maximize the firm value.

The study develops a system dynamics model for an oil firm and incorporates the financial and physical processes to perform the firm valuation. The model is simulated under the current and alternative investment, capital structure and dividend policies of the case firm, assuming different oil and gas price and tax rate scenarios to identify which combination of policies maximizes the firm value.

The simulation results suggest that lowering the volume of investments, increasing the debt ratio and reducing the dividend payments from the current level increases the share price, given increased oil and gas price expectations and lower tax rates. However, the total firm value outperforms with increased investments toward the end of the simulation period. In case of decreased oil and gas price expectations, lower volume of investments, lower debt ratio and lower dividend payments increase the share prices, given lower taxes.

This study entails significance as it provides a comprehensive financial planning model for an oil firm, which incorporates the complex interactions of key financial and physical processes of the firm. The study contributes to debates on corporate finance policies by integrating multiple theories, accounting for accumulation processes and feedback loops and their non-linear interactions. The study proposes the consideration of combined impact of policies for firm value management.

This paper evaluates the economic, political and institutional determinants of variation in public investment in emerging Europe.

Panel econometrics (panel-corrected standard error, generalized least squares and the two-stage least squares) methods have been applied using annual data from 2000 to 2017 for 16 countries from Central and Eastern Europe (CEE).

Public investment was procyclical in relation to output and negatively associated with the level of public debt. Austerity episodes triggered a significant drop in public investment. Positive drifts in public investment during election periods and the negative impact of the number of cabinet seats held by left-wing parties have been captured. While no firm evidence on the impact of EU membership was found, the results show that arrangements with the IMF were strongly associated with lower public investment. Political factors were of greater importance in Central Europe and the Baltics, while institutional factors had a more significant impact in South Eastern Europe.

To foster public capital formation, it is necessary to: 1) strengthen the countercyclicality of public investment policy and to keep public debt at a low level; 2) adjust the fiscal criteria for EU membership in a manner that would enable countries to use the EU structural fund more effectively, while maintaining fiscal sustainability; 3) put a stronger emphasis on structural features of fiscal policy when designing country-level arrangements with the IMF.

The paper contributes to the literature on determinants of public investment policy by adding empirical evidence for emerging Europe countries.

This chapter advances a panel vector autoregressive/vector error correction model (PVAR/PVECM) framework for purposes of examining the sources and determinants of cross-country variations in macroeconomic performance using large cross-country data sets. Besides capturing the simultaneity of the potential determinants of cross-country variations in macroeconomic performance and carefully separating short- from long-run dynamics, the PVAR/PVECM framework advanced allows to capture a variety of other features typically present in cross-country macroeconomic data, including model heterogeneity and cross-sectional dependence. We use the PVAR/PVECM framework we advance to reexamine the dynamic interrelation between investment in physical capital and output growth. The empirical findings for an unbalanced panel of 90 countries over the time period from at most 1950 to 2000 suggest for most regions of the world surprisingly strong support for a long-run relationship between output and investment in physical capital that is in line with neoclassical growth theory. At the same time, the notion that there would be even a long-run (let alone short-run) causal relation between investment in physical capital and output (or vice versa) is strongly refuted. However, the size of the feedback from output growth to investment growth is estimated to strongly dominate the size of the feedback from investment growth to output growth.

The present paper aims to highlight how manufacturing expansions under conditions of increasing returns, which involve the growth of intermediate goods specializations, support advanced service employment. In addition, the increasing use of manufacturing products in services highlights additional, new service sector employment opportunities.

This paper investigates (1) the manufacturing and service interactions and (2) the investment behaviour in manufacturing using Auto-Regressive Distributed lags (ARDL) and Vector Autoregressive (VAR) models. The models allow for different specifications to study whether investment behaviour in manufacturing supports dynamic manufacturing and service interactions.

The results underpin how Kaldorian manufacturing as an engine of growth is still relevant in Indian growth and is key to achieving higher advanced employment, export-orientation and services and manufacturing nexus outcomes. What matters, though, is that manufacturing investments are to be guided mainly by intermediate goods specializations. The slowdown of these specializations, explaining the slowdown of manufacturing investment, is therefore, a concern.

A reinterpretation of manufacturing as an engine of growth in which primacy is given to investment behaviour in technical progress functions that can support the growth of specializations in manufacturing and such specialized service employment.

Since the 1970s productivity growth in most economies slowed, while information and communication technology expenditures increased: the “information technology (IT) productivity paradox.” Some researchers reported an end to the paradox, but this is most likely due to IT industry growth approaching the Year 2000 phenomenon. The purpose of this paper is to update IT productivity paradox research.

For comparability this research replicates methods employed by previous studies but employs a two-level approach: first macroeconomic indicators; second labor and multi-factor productivity.

Findings suggest IT investment has high positive correlation with gross domestic product growth, but not labor or multi-factor productivity. This ambiguity suggests the paradox is still poorly understood.

The findings are not conclusive; the authors cannot confirm or reject the existence of the productivity paradox. The global recession and banking crisis makes it prudent to wait until recovery before analyzing data from that period.

Lack of convincing evidence supporting positive effects from IT investment suggests some firms benefit from IT investment, but not others, and that IT investment has questionable returns.

Firm level studies might find IT investment benefits some firms, but lack of convincing macroeconomic level evidence of positive effects of IT investment suggests the paradox still exists.

This research updates the IT productivity paradox demonstrating the phenomenon is still poorly understood and thus worthy of further study, questioning the benefits of IT investment for industry and national economies.

The purpose of this study is to understand the investment decision-making of real estate investors in housing, highlighting the interplay between rational and irrational factors. In this study, investment satisfaction was a mediator, while reinvestment intention was the dependent variable.

A quantitative, cross-sectional and descriptive research design was used, gathering data from a sample of 550 residential real estate investors using a multi-stage stratified sampling technique. The partial least squares structural equation modelling disjoint two-stage approach was used for data analysis. This methodological approach allowed for an in-depth examination of the relationship between rational factors such as location, profitability, financial viability, environmental considerations and legal aspects alongside irrational factors including various biases like overconfidence, availability, anchoring, representative and information cascade.

This study strongly supports the adaptive market hypothesis, showing that residential real estate investor behaviour is dynamic, combining rational and irrational elements influenced by evolutionary psychology. This challenges traditional views of investment decision-making. It also establishes that behavioural biases, key to adapting to market changes, are crucial in shaping residential property market efficiency. Essentially, the study uncovers an evolving real estate investment landscape driven by evolutionary behavioural patterns.

This research redefines rationality in behavioural finance by illustrating psychological biases as adaptive tools within the residential property market, urging a holistic integration of these insights into real estate investment theories.

The study reshapes property valuation models by blending economic and psychological perspectives, enhancing investor understanding and market efficiency. These interdisciplinary insights offer a blueprint for improved regulatory policies, investor education and targeted real estate marketing, fundamentally transforming the sector’s dynamics.

Unlike previous studies, the research uniquely integrates human cognitive behaviour theories from psychology and business studies, specifically in the context of residential property investment. This interdisciplinary approach offers a more nuanced understanding of investor behaviour.

The purpose of this paper is to reassess the relative impact of labour market regulation on economic performance. Inflexible labour markets combined with high welfare costs are often thought to be the main cause of low growth in Europe.

This paper compares the impact of labour market regulation to that of macroeconomic policies (such as fiscal policy, monetary policy, macroeconomic cost management) and to that of investment into future growth (such as research, education and the diffusion of technology). We develop for this purpose a highly stylised model explaining economic growth; we suggest a synthetic measure of performance and use data for the US and Europe for the empirical test.

The main result is that regulation impacts on growth, the impact of regulatory change is, however, less easy to demonstrate. The impact of macro economic policy can be demonstrated first by the more growth oriented monetary and fiscal policy in the US and the success of some European countries in bringing private and public costs in line with productivity and tax revenues. However, boosting investment into future growth by encouraging research, education and technology diffusion seems to be the most important determinant of performance.

As to the limits of this paper, we have to acknowledge that our analysis refers to a short time period, a small number of countries and uses a highly stylised model.

If the results can be replicated for larger data sets and by more elaborated technical methods, the findings have an important policy implication: country strategies relying only on deregulation, without complementary macroeconomic policy and without strategy to boost “growth drivers” are suboptimal. This questions the policy advice given by some economists and economic think tanks, which call for deregulation as main policy strategy and then expect market forces to boost growth quickly and without specific policy measures.

The attempt to assess the relative impact of the three policy areas is specific to this paper; most other papers focus on one policy area only.

The purpose of this study is to determine the Turkish housing price and rent dynamics among seven big cities with a unique monthly data set over 2003–2019. The secondary purpose is to examine bubble dynamics within the price convergence framework through alternative tests.

The paper conducts two autoregressive distributed lag (ARDL) cointegration estimates for housing prices and rents and applies conditional error correction model to investigate the long-run drivers of the Turkish housing market. The authors compare ARDL cointegration in-sample forecasts and discounted cash flow (DCF) estimates with actual prices to determine the timing, magnitude and collapse period(s) of bubbles within the price convergence framework. In particular, the generalized sup augmented Dickey–Fuller (GSADF) approach time stamps multiple explosive price behaviors.

The ARDL results confirm the theory of investment value by addressing mortgage rates, the price-to-rent ratio and rents as the fundamental factors of house prices. The price-to-rent ratio offers a comparison mechanism among houses deciding to buy a new house in which rents increase monthly real estate investment returns, and mortgage rates act as the discount rate. One key finding is that these dynamics have a greater impact on house prices than mortgage rates. Furthermore, the ARDL, DCF and GSADF findings exhibit temporal overvaluations rather than bubble signals, implying that housing price appreciations, including explosive behaviors, are consistent with fundamental advances.

This paper is considered to be innovative in determining housing market dynamics through two different ARDL estimates for the Turkish housing price index and rents in real terms as dependent variables. The authors compare the boom and collapse periods of the real housing price index and its fundamentals via the GSADF test. A final key feature of this research is its extensive data set, with 11 different regressors between 2003 and 2019.

This study investigates the effect of global and domestic uncertainty on the dynamics of portfolio investment in 21 economies (mostly advanced and larger emerging economies) from 2001–2016.

Specifically, the evolution of the net portfolio equity investment inflows (FPI net inflows) and the evolution of net portfolio investment (FPI net) are investigated in a context in which the degree and the volatility of domestic economic policy uncertainty (EPU) and world uncertainty index (WUI) varied. The authors provide an empirical analysis through the sequential (two-stage) estimation of linear panel data models for unbalanced panel data.

An increase in the degree and volatility of domestic EPU has a significant negative influence on FPI net inflows, while an increase in WUI has a significant positive one. Notably, a simultaneous increase in the domestic EPU and WUI enhances the net inflows of FPI, whereas a simultaneous increase in the volatility of these indicators reduces the net inflows of FPI. An increase in the degree and volatility of both domestic EPU and WUI have a significant positive effect on the net portfolio investment, implying that a significant net portfolio investment is going out of the country.

The results of this study encourage international investors to consider uncertainty indicators (and, more specifically, their variations) in their portfolio strategy to optimize their position on the international markets. The findings of this study invite policy-makers from large countries to reduce the perceived domestic uncertainty since this parameter can influence international investors' sensitivity and willingness to diversify their position out of the country.

The authors' approach focuses on the variations of uncertainty (existing literature mainly works with the indicators). While the results confirm the role played by large markets in international portfolio investment management, it nuances the changes in the portfolio management behaviors toward other markets when facing a changing uncertainty.