HOW ASSET IRREVERSIBILITY INFLUENCES THE INVESTMENT‐UNCERTAINTY RELATIONSHIP

2019 ◽  
Vol 71 (3) ◽  
pp. 283-306
Author(s):  
Catharina Schauer (neé Klepsch)
Keyword(s):  
Uncertainty Relationship

Time-to-Build and the Inverse U-Shape Investment-Uncertainty Relationship

2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Yishay D. Maoz
Keyword(s):  
Analytical Solution ◽  
Large Time ◽  
Time Lag ◽  
Time To Build ◽  
Small Uncertainty ◽  
Shape Uncertainty ◽  
Uncertainty Relationship

The effect that investment lags have on the uncertainty-investment relationship is studied by modifying the Bar-Ilan and Strange (1996) model to enable an analytical solution. The following results emerge: (i) If the time lag is sufficiently small, uncertainty affects investment negatively; (ii) A sufficiently large time lag gives rise to an inverse U-shape uncertainty-investment relationship; (iii) When such an inverse U-shape exists, the longer the time lag (or the larger the degree of profit convexity), the wider the range of a positive uncertainty-investment relationship.

A Longitudinal Test of Relational Turbulence Theory

2020 ◽  
Vol 11 ◽  
Author(s):  
James B. Stein
Keyword(s):  
Structural Equation ◽  
Feedback Loop ◽  
Negative Emotions ◽  
Turbulence Theory ◽  
Relational Communication ◽  
Partial Support ◽  
Relational Uncertainty ◽  
Relational Turbulence ◽  
Equation Modelling ◽  
Uncertainty Relationship

Abstract Relational turbulence theory (RTT) proposes causal relationships across cognitive, emotional and communicative variables. Although many tenets of this theory have been tested individually, there has not yet been a comprehensive, predictive examination of RTT. Using structural equation modelling, this study longitudinally tested several propositions and axioms of RTT. Results are largely in line with many of RTT's predictions. Time 1 relational uncertainty predicted time 2 biased cognitions. Time 1 facilitation from a partner predicted time 2 negative emotions. Negative emotions cross-sectionally related to both the enactment and valence of relational communication episodes. Relational turbulence theory's proposed feedback loop received partial support, such that time 1 communication valence (but not engagement) predicted time 2 partner uncertainty, relationship uncertainty and partner facilitation. Results are discussed in terms of theory expansion and refinement.

scholarly journals Relationship between inflation and inflation uncertainty: The case of Serbia

2009 ◽  
Vol 19 (1) ◽  
pp. 171-183 ◽  
Author(s):  
Zorica Mladenovic
Keyword(s):  
Transition Period ◽  
Inflation Uncertainty ◽  
Monthly Data ◽  
High Inflation ◽  
Short Run ◽  
Permanent And Transitory Components ◽  
Uncertainty Models ◽  
The Relationship ◽  
Uncertainty Relationship ◽  
High Uncertainty

The purpose of this paper is to examine the relationship between inflation and inflation uncertainty in the Serbian economy, being particularly vulnerable to shocks in inflation rate, during transition period 2001 - 2007. Based on monthly data several GARCH specifications are estimated to provide the measure for inflation uncertainty. Derived variables are then included into VAR model to test for Granger-causality between inflation and its uncertainty. Models that consider only permanent and transitory components of prices are also estimated to investigate the inflation-uncertainty relationship in the long and in the short run. The main conclusion of the paper is that high inflation invokes high uncertainty, while high uncertainty negatively affects the level of inflation at long horizon.

The Relational Turbulence Model: A Meta-Analytic Review

2020 ◽  
Vol 46 (2-3) ◽  
pp. 222-249
Author(s):  
Alan K Goodboy ◽  
San Bolkan ◽  
Liesel L Sharabi ◽  
Scott A Myers ◽  
James P Baker
Keyword(s):  
Random Effects ◽  
Turbulence Model ◽  
Correlation Matrix ◽  
Structural Equation ◽  
Turbulence Theory ◽  
Relational Turbulence ◽  
Analytic Review ◽  
Relational Turbulence Model ◽  
Meta Analyses ◽  
Uncertainty Relationship

Abstract A series of 27 meta-analyses was conducted to synthesize theoretical predictions, to date, of the relational turbulence model (RTM), which has informed relational turbulence theory (RTT). In line with theorized predictions, 12 random-effects meta-analyses (k = 9–15; n = 1,395–5,493) confirmed that RTM variables (i.e., self uncertainty, partner uncertainty, relationship uncertainty, and partner interference), on average, correlated with topic avoidance, depressive symptoms, and relationship satisfaction. An additional 15 random-effects meta-analyses (k = 4–41; n = 930–8,975) were conducted to pool an average correlation matrix among self uncertainty, partner uncertainty, relationship uncertainty, partner interference, partner facilitation, and relational turbulence. This pooled correlation matrix was used to test a meta-analytic structural equation model of the RTM commonly specified in the literature. Global and local fit statistics indicated the meta-analytic data fit the RTM well. Collectively, these results offer empirical and theoretical evidence for the RTM across nearly 2 decades of research and provide insights for future scholarship guided by the axioms and propositions of RTT.

scholarly journals The investment-uncertainty relationship in the oil and gas industry

2019 ◽  
Vol 63 ◽  
pp. 101439 ◽  
Author(s):  
Maryam Ahmadi ◽  
Matteo Manera ◽  
Mehdi Sadeghzadeh
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Uncertainty Relationship

Abstract-algebraic interpretations of the energy–time uncertainty relation prove quantization of time

2020 ◽  
Vol 17 (05) ◽  
pp. 2050080
Author(s):  
Yohannes Yebabe Tesfay
Keyword(s):  
Theory Of Relativity ◽  
Time Uncertainty ◽  
Cardinal Numbers ◽  
Quantum Mechanical Theory ◽  
Dimensional Spacetime ◽  
Modern Physics ◽  
Development Goals ◽  
Uncertainty Relationship ◽  
Vital Structure ◽  
The Continuum

In modern physics, the general theory of relativity (GTR) successfully predicts the vital structure of gravity. The GTR confirmed that gravity is the distortion of four-dimensional spacetime [Formula: see text] by massive bodies. Such a prediction of the GTR is one of the vital successes towards the development goals of modern physics. Though, the central foundation for all the calculations of the GR is the hypothesis of continuum spacetime. In this paper, the author introduces a theorem of the quantum mechanical theory of time (QMT) to test whether the metric time is discrete or continuous. To prove the theorem, the author applied the set theory of cardinal numbers on the energy–time uncertainty relationship. The proof of the theorem confirmed that the metric time is discrete, and has an intrinsic quantum nature. The result implied that the continuum spacetime assumption of the GTR is found fundamentally erroneous. Therefore, spacetime is discrete and needs to be analyzed by the principles of quantum mechanics (QM).

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