Coverage Ratio Research Articles

Advancing financial analytics: Integrating XGBoost, LSTM, and Random Forest Algorithms for precision forecasting of corporate financial distress

This study thoroughly examined the use of different machine learning models to predict financial distress in Indonesian companies by utilizing the Financial Ratio dataset collected from the Indonesia Stock Exchange (IDX), which includes financial indicators from various companies across multiple industries spanning a decade. By partitioning the data into training and test sets and utilizing SMOTE and RUS approaches, the issue of class imbalances was effectively managed, guaranteeing the dependability and impartiality of the model’s training and assessment. Creating first models was crucial in establishing a benchmark for performance measurements. Various models, including Decision Trees, XGBoost, Random Forest, LSTM, and Support Vector Machine (SVM) were assessed. The ensemble models, including XGBoost and Random Forest, showed better performance when combined with SMOTE. The findings of this research validate the efficacy of ensemble methods in forecasting financial distress. Specifically, the XGBClassifier and Random Forest Classifier demonstrate dependable and resilient performance. The feature importance analysis revealed the significance of financial indicators. Interest_coverage and operating_margin, for instance, were crucial for the predictive capabilities of the models. Both companies and regulators can utilize the findings of this investigation. To forecast financial distress, the XGB classifier and the Random Forest classifier could be employed. In addition, it is important for them to take into account the interest coverage ratio and operating margin ratio, as these finansial ratios play a critical role in assessing their performance. The findings of this research confirm the effectiveness of ensemble methods in financial distress prediction. The XGBClassifier and RandomForestClassifier demonstrate reliable and robust performance. Feature importance analysis highlights the significance of financial indicators, such as interest coverage ratio and operating margin ratio, which are crucial to the predictive ability of the models. These findings can be utilized by companies and regulators to predict financial distress.

Few-layered-graphene - Si3N4 composite powders prepared by decomposition of methane onto a Si3N4 powder bed: Control of the average number of layers in the graphene stack

The chemical vapor deposition of carbon is performed onto a commercial silicon nitride powder bed. This produces few-layered-graphene (FLG) films or islands on the Si3N4 particles. The samples are characterized by several techniques including Raman spectroscopy, scanning and transmission electron microscopy. The experimental parameters of the methane (CH4) decomposition (temperature, CH4 concentration, dwell time) are correlated to the average number of graphene layers (N). Complete coverage of the Si3N4 particles is achieved for FLG with N controlled in the range 5–12, corresponding to 4–12 wt%. of carbon. Below that, for stacks with N = 3–4, the coverage of the surface by FLG islands is not total. The value found for the activation energy of CH4 conversion into carbon shows that island-growth is favored over layer-growth. A macroscopical method based on a carbon proportion evaluation gives an approximation of both the coverage ratio and the average number of layers in the stack.

Assessing effect of water photovoltaics on nearby water surface temperature using remote sensing techniques

The impact of photovoltaic power plants (PVs) on ambient temperature has received global research attention. However, existing reports predominantly focus on ground photovoltaic power plants (GPVs), with limited attention to water photovoltaic power plants (WPVs). As a new type of PVs, the influence of WPVs on nearby water surface temperature (WST) remains unclear. Utilizing 15 WPVs in China as case studies, this study assessed the effect of WPVs on nearby WST through remote sensing techniques. The findings revealed that WPVs have a significant heating effect (p < 0.001) on the WST in the nearby zone (0–120 m from the photovoltaic panels) compared to the distant water (120–240 m from the photovoltaic panels), indicating that WPVs can modify the thermal environment of adjacent water. Furthermore, we further found that the photovoltaic coverage ratio is significantly (p < 0.05) positively correlated with the heating effect of WPVs on nearby WST. This paper highlights the effectiveness of remote sensing techniques in evaluating the impact of photovoltaics on surrounding WST. Considering the potential impact of the photovoltaic heating effect on the aquatic ecological environment, we recommend carefully considering the necessity and appropriate area proportion of WPVs in specific water.

Initial bone tissue reactions of hydroxyapatite/collagen-(3-glycidoxypropyl)trimethoxysilane injectable bone paste.

We have previously reported that a novel bioresorbable self-setting injectable bone paste composed of hydroxyapatite/collagen bone-like nanocomposite (HAp/Col) and (3-glycidoxypropyl)trimethoxysilane (GPTMS) was successfully prepared and was replaced with new bone within 3 months of implantation in defects created in porcine tibia. In this study, the HAp/Col-GPTMS paste was implanted into bone defects in rat tibiae to investigate the initial kinetics and bone tissue response. Even though more than 35% of GPTMS molecules should be eluted rapidly from directly injected pastes according to previously reported cell culture tests, in this study, energy-dispersive X-ray spectrometry did not detect Si (GPTMS) deposition in tissues surrounding the paste at 1 day postimplantation. Further, no abnormal inflammatory responses were observed in the surrounding tissues over the test period for both directly injected and prehardened pastes. Companying these observations with the results of the previous animal test (in which the paste was fully resorbed and was substituted with new bone), the eluted GPTMS resolved in no harm in vivo from the initial to final (completely resorbed) stages. Material resorption rates calculated from X-ray microcomputed tomography (μ-CT) images decreased with increasing in GPTMS concentration. Histological observations indicated that tartrate-resistant acid phosphatase (TRAP) active cells, (assumed to be osteoclasts), exist on the periphery of pastes. This result suggested that the paste was resorbed by osteoclasts in the same way as the HAp/Col. Since a good correlation was observed between TRAP active areas in histological sections and material resorption rate calculated from μ-CT, the TRAP activity coverage ratio offers the possibility to estimate the osteoclastic resorption ratio of materials, which are replaced with bone via bone remodeling process.

Which One Is The Most Important In Bank: Liquidity Or Capital Resiliency?

This research aims to examine the fulfillment of the Liquidity Coverage Ratio (LCR) and Capital Adequacy Ratio (CAR) of banks towards bank credit growth in Indonesia. The researchers included macroeconomic factors (GDP and BI Rate) as control variables and bank size (core capital category) to support the research testing. The influence of LCR and CAR on bank credit growth with KBMI categories 2, 3, and 4 during quarterly periods (Q4 2018 - Q2 2023) is tested using multiple linear regression. The study findings indicate that banks that enhance liquidity management by increasing the LCR can lead to a reduction in credit distribution. However, the CAR does not have a major influence on credit growth. This is because bank capital in Indonesia is very robust. The relationship between the LCR and credit growth in all KBMI categories is not significantly influenced by the core capital category of banks. In addition, the KBMI has a little impact on the correlation between CAR and credit growth in KBMI banks 2 and 3, but it does have a moderating effect on KBMI 4 banks

Explorations on cooling effect of small urban linear park design in low-rise, high-density district: The case of Gyeongui line forest park in Seoul

Various types of urban parks provide a nature-based solution for mitigating urban heat islands and the cooling effect of urban parks has been extensively studied. However, there is a scarcity of cases involving small linear parks based on quantifiable unit, despite the expectation of their high cooling efficiency due to their unique form and characteristics. This study examined the cooling effect of urban linear park (LP) in low-rise and high-density districts with the longest urban park case in Seoul, South Korea, Gyeongui Line Forest Park, focusing on the influential factors related to park design. Thermal condition simulations and field measurements, including evaluations of thermal comfort, were conducted both inside and outside the LP. Park extensions with increased tree coverage ratio exhibit a consistent decline in thermal variables, with reductions of up to 11.25°C for mean radiant temperature (MRT), and 5.84°C for physiological equivalent temperature (PET). Peak cooling intensities are observed during the hottest time of day at 12 °C for MRT, with parallel wind further enhancing the cooling effect. In addition, LP cooling effect related to adjacent street types was investigated and appeared to be more pronounced in narrower streets. Strategies such as adding tall trees along adjacent streets and connecting cold airflows from the park to a street tree corridor may help to strengthen LP’s cooling effect. While direct comparisons are limited, initial findings suggest that small urban linear parks under specific conditions have significant cooling potential, possibly comparable to or exceeding that of other similar-sized small urban parks, needing further investigation.

3D dynamic landscape simulation of artificial intelligence in environmental landscape design

Three-dimensional (3D) simulations and precise landscape visualizations are crucial for various applications, like landscape management and planning, computer and connection of the landscape, evaluation, and tracking of land use. The consequences of several plans and a large scene cannot be communicated using older methods of comprehensive environmental planning and development in a timely, rational, and coordinated manner. Architects have trouble incorporating ideas into other comprehensive planning implementation processes. Architects did not thoroughly investigate the neighbourhood's demographics and matching behavioural needs and lacked critical thinking. The 3D dynamic landscape simulation is a detailed computerized three-dimensional simulation of the environment that can be dynamically presented. With the aid of Artificial Intelligence (AI) technology, the system possesses a strong sense of reality, a user-friendly interface, and interactive features that can be tailored to the requirements of the contemporary urban environmental landscape. Regarding exterior publicity, domestic assistance, environmental land use planning, and information systems. The novelty of the proposed Interactive Design System based on AI (IDS-AI) is to create a 3D dynamic landscape model based on a real-life environmental scene, utilizing a Geographic Information System (GIS) to optimize landscape vision. Secondly, 3D environmental landscape design simulation was implemented using GIS spatial analysis in conjunction with the Fuzzy Analytical Hierarchical Process (FAHP) to reduce the data overlap rate and help make an accurate decision. Finally, the design incorporates the development of the interactive interface system application of landscape design and environmental resources for viewing the landscape, the factors that affect them, and the area coverage ratio of various land cover types. The experimental outcomes show that the suggested IDS model increases the gradient sensitivity level of 98.3 % and area coverage ratio of 93.4 % compared to other existing models.

A Financial Analysis and Valuation of First Solar, Inc.

First Solar is an American company specializing in thin-film photovoltaic solar solutions using Cadmium Telluride (CdTe) technology. This technology offers environmental protection and sustainability advantages. The company maintains market competitiveness through continuous technological improvements, enhanced efficiency and durability, and expanded production capacity. First Solar holds significant market share in the United States and India, aided by government incentives like the U.S. Inflation Reduction Act and Indias Production-Linked Incentive Program. The company is expanding globally through acquisitions and long-term agreements, with plans to build new factories in both countries to boost production. Financially, First Solar performs well in liquidity, solvency, and profitability, ranking in the upper-middle tier among industry competitors. Its healthy short-term debt solvency is indicated by strong current and quick ratios, while its low debt ratio and high interest coverage ratio highlight robust long-term debt solvency. The companys gross and net profit margins are stable and expected to grow. First Solars earnings per share (EPS) and revenue growth rates surpass those of its peers, and its price-to-earnings (P/E) and earnings growth (PEG) ratios suggest lower relative future earnings growth, enhancing investment appeal. In summary, First Solar demonstrates strong market competitiveness and growth potential with its advanced technology, sustainable business model, and solid financial performance, positioning it as a leader in the solar energy industry.

Component-based SHGC determination of BIPV glazing for product comparison

Building-integrated photovoltaic (BIPV) systems are intrinsically designed to generate electricity and to provide at least one building-related function. When BIPV modules act as glazing products in windows, skylights or curtain walls, their ability to control the transmission of solar energy into the building must be characterised by a Solar Heat Gain Coefficient (SHGC) or g value (also known as Total Solar Energy Transmittance – TSET – or “solar factor”). For the comparison of BIPV glazing products consisting of one PV laminate and possibly further, conventional glazing layers separated by gas-filled cavities, the procedures documented in international standards for architectural glazing (e.g. ISO 9050 and EN 410) form a suitable starting point. Easily implemented modifications to these procedures are proposed to take both optical inhomogeneity (if relevant) and extraction of electricity from BIPV glazing units into account. Geometrically complex glazing and shading devices, and light-scattering glazing layers, are outside the scope of the proposed methodology; SHGC determination for obliquely incident solar radiation is also excluded. For these cases, the experimental calorimetric approach documented in [ISO 19467:2017; ISO 19467-2:2021] is recommended.The paper also presents results and conclusions from an implementation exercise and sensitivity study carried out by participants of the IEA-PVPS Task 15 on BIPV. The cell coverage ratio in the PV laminate, the thermal resistance offered by the glazing configuration, the choice of boundary conditions and the effect of extracting electricity were all identified as parameters which significantly affect the SHGC value determined for a given type of BIPV glazing. A practicable approach to accommodate the great variety of dimensions typical for BIPV glazing is also proposed. These findings should pave the way for modifying the existing component-based standards for architectural glazing to take the specific features of BIPV glazing into account.

Effect of high-intensity vibration parameter on droplet transport characteristics in gas channel of proton exchange membrane fuel cell

In aerospace applications, proton exchange membrane fuel cells are subject to high-intensity vibration. Vibration has a substantial effect on water transport in fuel cells. However, there is a lack of research on the effects of multi-directional and high-intensity vibration conditions on fuel cells. In this study, the droplet transport characteristics in the gas channel under high-intensity vibration conditions are investigated for the first time. Moreover, the effects of vibration direction and vibration frequency on the droplet dynamic transport process are specifically studied. The droplet transport state, drainage performance, and pressure drop variation in the gas channel under different vibration conditions are analyzed and interpreted. The results show that low-frequency vibration in the longitudinal direction is more conducive to the droplet discharge, and the pressure drop undergoes a periodic change corresponding to the vibration frequency. Vertical vibration promotes droplet detachment from the gas diffusion layer surface, which contributes to the reduction in water coverage ratio on its surface, despite an increase in the channel pressure drop. Under the influence of horizontal vibration, droplets are more susceptible to adsorption on the channel sidewalls and turn into a liquid film, which leads to a longer discharge time and a reduction in pressure drop.

A Simulation Study on Sieving as a Powder Deposition Method in Powder Bed Fusion Processes.

Powder deposition of even and homogeneous layers is a major aspect of every powder bed fusion process. Powder sieving is commonly performed to powder batches outside of the PBF machine, prior to the part manufacturing stage. In this work, sieving is examined as a method of powder deposition rather than a method to solely filter out agglomerates and oversized particles. Initially, a DEM powder model that has been validated experimentally is implemented, and the sieving process is modelled. The sieving process is optimized in order to maximize mass flow, duration of its linear stage and total mass sieved during linearity. For this, a Taguchi design of experiments with subsequent analysis of variance is deployed, proving that the larger the initial powder loaded in the sieve, the larger the sieve stimulation necessary, both in terms of oscillating frequency and amplitude. The sieve's aperture shape is also evaluated, proving that the more sides the canonical polygon has, the less the mass flow per aperture for the same maximum passing particle size. Then, the quality of the layer produced via controlled sieving is examined via certain layer quality criteria, such as the surface roughness, layer thickness deviation, surface coverage ratio and packing density. The findings prove that controlled sieving can outperform powder deposition via a non-vibrated doctor blade recoater, both in terms of layer surface quality and duration of layer deposition, as proven by surface skewness and kurtosis evaluation.

A novel exergy-based cost and carbon footprint allocation method in the multi-energy complementary system

Energy efficiency, economic cost and carbon emission of multi-energy complementary systems are three key indicators to sustainable development in the low-carbon background. This paper analyzes the coupling relationships between energy, cost, and carbon emission flows in a combined cooling, heating, and power (CCHP) system. The CCHP system consists of biomass gasification, co-firing internal combustion engine by product gas and natural gas, concentrated photovoltaic thermal solar collector, and absorption heat pump. A novel exergo-carbon method with exergo-economic analyses is proposed to determine the exergy cost and carbon footprint rate of each stream in the CCHP system, and the unit cost and carbon footprint of multiple products of electricity, cold energy and heat energy are obtained by the proposed method. The impacts of co-firing ratio and photovoltaic coverage ratio on energy and exergy efficiencies and cost and carbon footprint of products are analyzed. The sensitivity of biomass carbon footprint is performed to show its influences. The total cost of products including economic and carbon costs, is discussed to guide the carbon market's pricing strategies. Under the design conditions, the unit exergy cost of electricity, chilled water and hot water are 0.1094, 0.7659 and 0.466 $ (kWh exergy)−1, and their unit exergy carbon footprints are 0.3651, 3.9050, and 2.3780 kg CO2-eq (kWh exergy)−1, respectively.

Liquidity regulation, bank capital ratio, and interbank rate

We study the impact of the Basel III liquidity coverage ratio (LCR) on bank capital ratio and the interbank rate in a traditional banking model. We find that inappropriate parameters assigned to calculate High-Quality Liquid Assets (HQLAs) and Net Cash Flows (NCOs) would lower the equilibrium capital ratio especially when the required liquidity ratio is strengthened. In addition, these regulatory parameters may have macro-prudential effects to steer the interbank rate.

Interface Allocation Precisely Customized Janus Upconversion Nanomotor for Atherosclerosis Amelioration

AbstractSpatial and temporal precisely control of direction and speed is crucial for nanomotors to enable complex operations and applications in microsurgery, drug delivery, isolation of biological targets, and so on. Judicious material design involving Janus nanoparticles has been popular over the past decades, however, precise and customizable modulation of Janus structure with a specific asymmetric ratio for motion control is still challenging. In this study, a universal “interface allocation” strategy is developed for efficient and controllable preparation of Janus mesoporous silica‐coated upconversion nanoparticles (Janus UCNP@mSiO2) with precisely tuned asymmetric ratio to achieve near‐infrared (NIR)‐controlled active mobility for relieving vessel plaque. Mesoporous silica with a thickness of 50 nm is precisely coated onto the nanoparticles’ surface with an optimal coverage ratio of 50% to encapsulate gas propellant. Upon exposure to upconverted blue light, the nanomotors release nitric oxide, facilitating their motion and pathologically improving atherosclerosis through endothelium‐dependent vasodilation. Experimental and theoretical simulation results demonstrate the advantages of NIR‐controlled Janus upconversion nanomotors in atherosclerosis treatment, including enhanced nanoparticle‐transmittance rate (34.83% to 85.57%) and excellent in vivo therapeutic efficacy.

The relationship between the femoral artery and vastus medialis muscle coverage at the adductor hiatus during medial closed wedge distal femoral osteotomy in valgus knees.

The purpose of this study was to examine the location where the femoral artery contacts the vastus medialis at the adductor tendon hiatus, which is important when using the subvastus approach in medial closed wedge distal femoral osteotomy. We evaluated the correlation between differences in height, vastus medialis morphology, and lower limb alignment. Sixty knees (16 male, 44 female) that underwent plain computer tomography (CT) were included. Using the radiographic hip-knee-ankle (HKA) angle as a reference, the knees were divided into three groups of 20 knees: valgus, varus, and neutral. The mechanical lateral distal femoral angle (mLDFA) and distance from the medial femoral epicondyle to the centre of the femoral head (D1) were measured on full-length weight-bearing anteroposterior radiographs. The first cross-section on CT where the vastus medialis muscle and femoral artery connect was defined as the cross-sectional image for measurement. The direct distance from the medial epicondyle to the measured cross-sectional image (D2) was measured in the coronal view. The ratio of the vastus medialis muscle width to the femoral posterior wall width was defined as the vastus medialis muscle coverage ratio (CR). Correlations between each measurement and group were evaluated. There was a positive correlation between D1 and D2 in the overall, neutral, and varus groups; however, there was no correlation in the valgus group. A positive correlation was observed in terms of the relationship between CR and D2 in the overall and valgus groups. In addition, there was no statistically significant difference in the correlation between the mLDFA and D2, with patient height as a control variable overall and in all groups. In the valgus group, distance to the adductor hiatus was correlated with vastus medialis coverage. Overhang of the vastus medialis may be an important influencing factor of femoral and popliteus artery position. Level III, retrospective cohort study.

Study on the Use of Floating Photovoltaics on Kourna Lake, Western Crete, Greece

Installation of floating solar photovoltaic systems on the surface of water bodies has been developed rapidly in recent years worldwide. However, installation of floating photovoltaics in water reservoirs in Greece has not been reported so far. Kourna lake is the only natural lake in Crete located in the western part of the island in an idyllic and environmentally protected site while several touristic activities have been developed locally. The characteristics of the lake are mentioned and various parameters of a floating photovoltaic system which can be installed have been evaluated. A floating photovoltaic system with nominal power at 2.42 MWp can be installed on its surface with coverage ratio 5% generating 3.6 GWh annually. If the coverage ratio of the surface is at 10% the nominal power of the installed floating photovoltaic system will be at 4.83 MWp while the annually generated electricity will be at 7.24 GWh corresponding at 0.24% of the power demand in the island in 2018. The advantages and the drawbacks of the novel floating energy system have been stated. The acceptance of the abovementioned solar energy system from the local community is a prerequisite for its successful installation avoiding local conflicts and protests related with the co-existence of the current touristic activities with solar power generation in the lake.

Analysis of Profitability Ratios and Solvency Ratios on Financial Performance at PT Bank Negara Indonesia Tbk Listed on the Indonesia Stock Exchange (BEI) 2018-2022

Financial performance is one of the important factors in assessing a company's success, especially for public companies. PT Bank Negara Indonesia Tbk is one of the registered banking companies in the Indonesia Stock Exchange and has significant financial performance in the capital market. This study aims to analyze the profitability ratios and solvency ratios on the financial performance of PT Bank Negara Indonesia Tbk that is listed on the Indonesia Stock Exchange (BEI) for the period of 2018-2022. The data used in this research are the financial statements of PT Bank Negara Indonesia Tbk for the same period. The analysis methods that are used in this study are quantitative analysis. The research findings show that the profitability ratios, consisting of Return on Assets (ROA), Profit Margin, and Return on Equity (ROE), have a positive and significant effect on the financial performance of PT Bank Negara Indonesia Tbk. Meanwhile, the solvency ratios, consisting of Debt to Assets Ratio (DAR), Debt to Equity Ratio (DER), and Interest Coverage Ratio (ICR), have a negative and significant effect on financial performance. Based on the results, it can be concluded that PT Bank Negara Indonesia Tbk needs to pay attention to the profitability ratios and solvency ratios in maintaining its good financial performance. In terms of this, the company needs to maximize the use of its assets to increase its profitability and reduce its dependency on debt financing sources to uphold its healthy solvency.

The association of the medial meniscus covering ratio with knee cartilage thickness at 15 medial compartment subregions as found by three-dimensional analysis using MRI.

The correlation of cartilage thickness measured by three-dimensional (3D) magnetic resonance imaging (MRI) and the medial meniscal coverage ratio (MMCR), which presented pathology of the medial meniscus extrusion (MME) in 3D MRI, has not yet been elucidated. The study's purpose was to retrospectively verify whether the average cartilage thickness calculated by the automatic MRI 3D analysis system for each subregion was correlated with MMCR. A total of 60 patients underwent medial meniscus repair or high tibial osteotomy to treat their medial knee osteoarthritis. Cartilage thickness and MMCR were automatically calculated using 3D MRI software. The MMCR was defined as the ratio of the area covered by the meniscus within the medial tibial cartilage area to the total medial tibial cartilage area. The association between MMCR and the average cartilage thickness at 15 subregions in the medial femoral condyle (MFC) and medial tibial plateau (MTP) was evaluated using Spearman's rank correlation coefficient. Kellgren-Lawrence grade exhibited a negative correlation with MMCR and a positive correlation with MME width. Cartilage thickness in the MTP had a moderately positive correlation with MMCR at four subregions and a weakly positive correlation at another subregion. Cartilage thickness in the MFC showed a moderately positive correlation with MMCR at five subregions and a weakly positive correlation at one subregion. Cartilage thickness calculated by automatic MRI 3D analysis system had a positive correlation with MMCR for all subregions of the anterior and middle subregions in the MFC and for five regions of nine subregions of the anterior and middle subregions in the MTP. Level II, cross-sectional study (diagnosis).

Optimal Semi-Transparent Photovoltaic (STPV) window based on energy performance, daylighting quality, and occupant satisfaction – A case study of private office in Chengdu China

With the global warming, energy crisis, and the increasing application of glazing curtain walls, semi-transparent photovoltaic (STPV) systems have garnered significant attention for their excellent energy performance and daylight quality. The cell coverage ratio (CCR) of an STPV window impacts energy performance, daylight quality, and occupants’ satisfaction simultaneously, though these impacts can be conflicting. Therefore, this study investigates the optimal CCR of STPV for optimal daylight, energy performance, and occupants' satisfaction in Chengdu City, China through a case study. A private office room was selected as the base model. Energy performance, and daylighting quality according to the different CCR (10% to 50%) of STPV were analyzed using Honeybee in Grasshopper (GH), which is a Plugin for Rhinoceros. Occupants’ satisfaction was assessed through a survey conducted with ClimateStudio (CS) and Virtual reality (VR). The results indicated that the optimal CCR of STPV for this room is as follows: East (30%), West (10%), North (10%), and South (40%), based on energy performance, daylight quality, and occupants’ satisfaction.

Determinants of Financial Efficiency and Performance in Big-Cap Chain Hotels

Chain hotels with $1 billion in market capitalization not only contribute to employment creation and indirectly become a driving force in the regeneration of local economies but also play an essential role in recovering local economies with their high revenue per available room (RevPAR) values. Besides, the financial stability of these hotel chains directly influences the popularity of destinations, resulting in an influx of tourists to nearby regions, which in turn generates an economic contribution to the overall development of the tourism industry. Therefore, the aim of this paper is to determine the financial factors that are affecting the RevPAR (RPR), their role in the industry, and the validity of the agency cost theory of nine chain hotels that have at least $1 billion in market capital listed in U.S. stock markets over the period 2013–2022. The results show that, in contrast to the debt service coverage ratio, receivables turnover ratio, and book value per share variables, the day sales outstanding ratio and current ratio have a negative impact on chain hotels' RevPAR.