Farce

Weisstein, Ulrich

doi:10.1515/hwro.3.farce

Cited by 14 publications

(17 citation statements)

References 0 publications

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“…The relationship between risk and expected return returns of two stocks increases and decrease in the same direction. In case the covariance is a negative relationship, their return increase and decrease are conflicting (Weisstein, 1999). For methods of measuring portfolio risk in cases there are two investment securities in an investment portfolio, it can have interrelated relationships.…”

Section: Methodology and Hypotheses Developmentmentioning

confidence: 99%

Analyzed relationship between risks and expected returns

Dinh

2021

JEAS

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PurposeThis study aims to investigate the relationship between risks and the expected return of financial investment because the relationship between them is negative; if the investors agree to the higher level of risk, they have the greater the expected return; therefore, investors always require a degree of proportionality between the risks and returns.Design/methodology/approachThis study applied the standard deviation, variance, coefficient of variation methods and matrix function to measure risks. Besides, the dataset is a return on equity ROE, which is collected in three companies at time series from 2005 to 2020.FindingsWhen the variance or the standard deviation is higher, the return on the securities is higher, but the securities are a higher risk and vice versa. The results showed risk levels of stocks that are 2.509%, 0.367%, 3.666% and the corresponding return mean of 38.68%, 23.99% and 14.02%.Originality/valueThe results support the portfolio management policy appropriately. This study identifies issues for managers, investors and readers to consider: have a comprehensive solution among microcosmic policies, finance policy, investment policy and other policies to control and balance the relationship between risks and returns; have appropriate policies to regulate funds to stimulate investment in the long term.

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Section: Methodology and Hypotheses Developmentmentioning

confidence: 99%

Analyzed relationship between risks and expected returns

Dinh

2021

JEAS

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“…According to [34], the logarithmic spiral may be created from equally spaced rays when drawing the perpendicular to a neighboring ray after starting along one. As the number of rays approaches infinity, the segmentation pattern resembles a smooth logarithmic spiral.…”

Section: ➢ Body Surface Areamentioning

confidence: 99%

A Fire Evacuation and Control System in Smart Buildings Based on the Internet of Things and a Hybrid Intelligent Algorithm

Mohammadiounotikandi

Fakhruldeen

Meqdad³

et al. 2023

Fire

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Concerns about fire risk reduction and rescue tactics have been raised in light of recent incidents involving flammable cladding systems and fast fire spread in high-rise buildings worldwide. Thus, governments, engineers, and building designers should prioritize fire safety. During a fire event, an emergency evacuation system is indispensable in large buildings, which guides evacuees to exit gates as fast as possible by dynamic and safe routes. Evacuation plans should evaluate whether paths inside the structures are appropriate for evacuations, considering the building’s electric power, electric controls, energy usage, and fire/smoke protection. On the other hand, the Internet of Things (IoT) is emerging as a catalyst for creating and optimizing the supply and consumption of intelligent services to achieve an efficient system. Smart buildings use IoT sensors for monitoring indoor environmental parameters, such as temperature, humidity, luminosity, and air quality. This research proposes a new way for a smart building fire evacuation and control system based on the IoT to direct individuals along an evacuation route during fire incidents efficiently. This research utilizes a hybrid nature-inspired optimization approach, Emperor Penguin Colony, and Particle Swarm Optimization (EPC-PSO). The EPC algorithm is regulated by the penguins’ body heat radiation and spiral-like movement inside their colony. The behavior of emperor penguins improves the PSO algorithm for sooner convergences. The method also uses a particle idea of PSO to update the penguins’ positions. Experimental results showed that the proposed method was executed accurately and effectively by cost, energy consumption, and execution time-related challenges to ensure minimum life and resource causalities. The method has decreased the execution time and cost by 10.41% and 25% compared to other algorithms. Moreover, to achieve a sustainable system, the proposed method has decreased energy consumption by 11.90% compared to other algorithms.

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“…Considering 𝑢 is a discrete function of points, it is possible to group these points in consecutive overlapping triplets of points 𝑎, 𝑏 and 𝑐 as represented in Figure 4. Then, it is possible to approximate the curvature of the flow profile to the inverse of the radius of the circumscribing circle or circumradius with reference to each triplet of points [14] as shown in Equation 5:…”

Section: Q0r2 # S Hmentioning

confidence: 99%