Amidst the uncertainty of subdued global IPO activity in 2024, the US IPO market emerges as a beacon of hope, showing signs of recovery fueled by stable rates and soaring S&P 500 valuations.

3 views • 7 slides

Investment assessments using Integrated Assessment Models (IAMs) are evolving to include biophysical climate impacts, assessing climate uncertainty on investments. The approach involves the MESSAGEix-GLOBIOM IAM, considering climate policy, SDG measures, and impacts under different scenarios. Climat

6 views • 32 slides

Heisenberg's Uncertainty Principle, proposed by German scientist Werner Heisenberg in 1927, states the impossibility of simultaneously and accurately determining the position and momentum of microscopic particles like electrons. This principle challenges classical concepts of definite position and m

0 views • 49 slides

Exploring Bayesian reasoning principles such as Bayesian inference and Naïve Bayes algorithm in the context of uncertainty. The content covers the sources of uncertainty, decision-making strategies, and practical examples like predicting alarm events based on probabilities.

0 views • 32 slides

Annabella Matute-Castro, a UK-Latin America lawyer, will delve into managing uncertainty for sustainable economic growth at the PBEC 55th Annual Dialogues Summit 2022. Explore strategies for thriving in a complex economic landscape. Contact M C Services Links for more information.

0 views • 7 slides

Economic Geography is a sub-discipline that utilizes a geographical approach to analyze the spatial distribution of economic activities at various scales. It focuses on the location of economic activities and their relationship with the environment, encompassing primary, secondary, and tertiary sect

1 views • 20 slides

Measurement uncertainty in testing is a crucial aspect that characterizes the dispersion of values attributed to a measurand. This uncertainty plays a key role in reporting accurate test results, requiring careful evaluation of all significant contributions. The ISO/IEC Guide 98 GUM provides essenti

1 views • 18 slides

The Fibonacci method offers a systematic approach to finding the minimum of a function even if it's not continuous. By utilizing a sequence of Fibonacci numbers, this method helps in narrowing down the interval of uncertainty to determine the optimal solution through a series of experiments. Despite

1 views • 19 slides

Explore the tension between creativity and efficiency in innovation through Pearsons' Uncertainty Map (1991), which categorizes uncertainty about ends and means. The map helps analyze uncertainty in various innovation processes, from exploratory research to improving existing products, offering insi

3 views • 42 slides

Risk management involves minimizing or mitigating risks that arise from uncertainty. In organizations, this uncertainty often stems from the marketplace. Ideally, risk management follows a prioritization process, addressing risks that pose the greate

3 views • 1 slides

Rwanda's economic outlook for 2019 includes moderate global growth prospects amidst trade tensions, Brexit, and global uncertainty. The country's GDP growth stood at 8.6% in 2018, supported by favorable weather conditions, public infrastructure investments, and continued global demand. Inflation rat

2 views • 19 slides

The 2-year project launched in April 2018 aims to address uncertainty around fishing impacts in offshore environments by engaging key stakeholders through Adaptive Management. The project focuses on developing a consistent approach for managing sedimentary habitats in light of scientific uncertainty

2 views • 15 slides

Community Economic Development (CED) involves local actions to create economic opportunities improving social conditions, especially for the disadvantaged. It recognizes the interdependence of economic, environmental, and social challenges, emphasizing solutions rooted in local knowledge. The ultima

1 views • 30 slides

Bayesian reasoning involves utilizing probabilities to make inferences and decisions in the face of uncertainty. This approach allows for causal reasoning, decision-making under uncertainty, and prediction based on available evidence. The concept of Bayesian Belief Networks is explored, along with t

1 views • 33 slides

This study by A.A. Sonzogni and E.A. McCutchan focuses on developing cumulative fission yield covariances for uncertainty quantification in nuclear reactors. The research involves calculating cumulative fission yields, using decay data and nuclear databases, to improve accuracy in predicting fission

0 views • 5 slides

Amidst the rise of cryptocurrencies, particularly Bitcoin, this study by Dr. Ur Koumba explores the relationship between uncertainty and cryptocurrency returns using a Copula-based approach. The research delves into the impact of uncertainty on the volatile nature of cryptocurrencies, shedding light

0 views • 17 slides

Economic forecasters faced challenges in predicting the impact of inflation post-pandemic, leading to delayed monetary policy adjustments by the Fed. By analyzing inflation forecasts and policy rates, the study evaluates the potential outcomes with perfect foresight. The comparison between actual an

0 views • 20 slides

Known patterns and models exist for heavy rainfall forecasting, but uncertainty remains. Ensembles and probabilities help manage this uncertainty. Sharp edges in precipitation shields are key, with models improving to anticipate these features more accurately. Understanding the dynamics of edges can

0 views • 28 slides

The Regional Programme on Economic Statistics aims to improve economic statistics in the Asia-Pacific region by enhancing capacity and coordination among National Statistical Offices (NSOs) and other stakeholders. The programme focuses on implementing the Core Set of Economic Statistics to facilitat

0 views • 11 slides

The uncertainties in the direct radiative forcing of aerosols can be assessed by considering factors such as emissions, lifetime, Mass Absorption Cross Section (MAC), Aerosol Absorption Optical Depth (AAOD), and forcing efficiency. Variations in these factors contribute to the overall uncertainty in

0 views • 9 slides

Reviewing the O2 CO2 calibration uncertainty, recent updates include identifying beam clipping on the reflection photodiode, switching to the transmitted photodiode, correcting time-dependent errors, and reducing overall uncertainty budget to primarily statistical uncertainty. Data and scripts used

0 views • 13 slides

This research explores the impact of uncertainty and precommitment on social dilemmas, specifically focusing on the Interdependent Security (IDS) scenario. It investigates how precommitment influences investment rates and decision-making in situations involving stochastic losses and risky investment

0 views • 56 slides

This study explores the influences of supplier market competition, volume uncertainty, technological uncertainty, and production costs on make-or-buy decisions. Transaction cost economics theory highlights the impact of uncertainty and asset specificity on such decisions, with a focus on buyer-suppl

0 views • 10 slides

The paper by George A. Akerlof explores quality uncertainty in markets, focusing on adverse selection and its impact on labor markets. It delves into buyer-seller incentives, the example of the automobile market, and Gresham's Law, highlighting information asymmetry and its economic implications.

0 views • 18 slides

Explore the sources of economic, social, and political uncertainty at regional and global levels. Discuss the rising tide of uncontrollable uncertainty and its implications for public policy and communities. Delve into economic globalization, social fragmentation, and the challenges posed by a world

0 views • 20 slides

Probability plays a crucial role in decision-making under uncertainty, where factors like laziness, ignorance, and randomness influence outcomes. This lecture covers key concepts in probability, including outcomes, events, random variables, and conditional independence. It also delves into the chall

0 views • 42 slides

Explore the concept of estimating with uncertainty, focusing on calculating a mean and using standard error to describe the uncertainty in that mean. Delve into human height, a variable described by a normal distribution, to understand how samples may deviate from the true mean. Discover sampling er

0 views • 13 slides

Decisions under risk involve outcomes with known probabilities, while uncertainty arises when outcomes and probabilities are unknown. Measuring risk involves probability distributions, expected values, and variance calculations. Expected profit is determined by weighting profits with respective prob

0 views • 45 slides

Explore the concept of economic policy and its importance in achieving economic objectives. Delve into the historical debate on state intervention in the economy and major schools of economic theory like Mercantilism. Understand the emergence of economic policies through economic, political, scienti

0 views • 105 slides

Explore the concepts of uncertainty in Bayesian reasoning, including probabilistic effects, multiple causes, and incomplete knowledge. Understand decision-making under uncertainty through rational behavior principles. Delve into scenarios involving alarm systems and predicting outcomes based on prob

0 views • 32 slides

Explore the concept of worry and uncertainty in the mind management skills workshop. Understand the vicious cycle of worry, practice skills to manage worry effectively, and review your progress through homework assignments. Discover how worry is a response to uncertainty and learn strategies to brea

0 views • 21 slides

General Practitioners (GPs) encounter uncertainty in their practice and utilize various strategies to address it. These strategies include safety netting, seeking advice from colleagues, sharing uncertainty with patients, review/follow-up processes, investigations, building rapport, and more. Collea

0 views • 35 slides

Sampling uncertainty arises due to variations in sample values, impacting statistical estimates. Larger samples reduce uncertainty, providing more precise estimates. Adequate sample sizes are crucial, especially for comparing different groups or magnitudes of effects. By quantifying uncertainty, res

0 views • 27 slides

Uncertainty Quantification (UQ) is crucial in determining likely outcomes in scenarios with unknown factors. Explore the concept through the Algae Example, where parameters like growth rates pose challenges due to uncertainty. Statistical techniques like MCMC and the DRAM algorithm play key roles in

0 views • 13 slides

Critiques of conventional economic thinking include its ahistorical approach, lack of focus on social issues, and uniform policy recipes. An alternative, anticipatory approach to economic theory emphasizes the role of uncertainty in driving change and transforming economic institutions. It explores

0 views • 6 slides

The presentation by Guo Kesha at the World Leather Congress in Shanghai delves into the analysis and forecast of China's economic development trends. It discusses whether a new cycle has opened for the Chinese economy, the potential for an L-type growth platform, and initial research on economic tre

0 views • 22 slides

The Provincial Economic Review and Outlook for 2011 highlighted the global economic performance and outlook, focusing on factors like GDP growth, employment trends, and socio-economic conditions in the Western Cape region. It discussed the recovery in global economic growth post-2009, with the IMF p

0 views • 29 slides

Uncertainty in demand planning can lead to inefficiencies in the supply chain. This course covers various tools and techniques to manage demand, supply, and lead time variability, reducing costs and optimizing operations. Learn to recognize and address causes of uncertainty, apply forecasting techni

0 views • 31 slides

Explore the concept of risk and uncertainty in insurance markets, with insights on the definitions, expected value calculations, and practical examples like daily number bets and roulette. Gain a deeper understanding of how risk and uncertainty play crucial roles in decision-making and financial out

0 views • 54 slides

This presentation explores the intricate relationship between confidence, uncertainty, and risk in decision-making processes within engineering design studies. It highlights the importance of considering various perspectives and evaluating potential risks and benefits to make informed decisions. The

0 views • 21 slides