What makes the banks survive distress? Financial performance analysis of Indonesian Banking

2020 ◽  
Vol 11 (1) ◽  
pp. 13-13
Author(s):  
Farida Titik Kristanti
Keyword(s):  
Economic Growth ◽  
Financial Distress ◽  
Hazard Analysis ◽  
Government Policies ◽  
Proportional Hazard ◽  
Analysis Method ◽  
Factors Affecting ◽  
Cox Proportional Hazard ◽  
The Government ◽  
A Company

Financial Distress is an undesirable condition for a company. To improve, it is necessary to know the factors affecting financial distress. This research aims to find out the determinants of banking financial distress. 41 banks were taken as samples based on the purposive sampling. The survival cox proportional hazard analysis method used found evidence that macro indicators (inflation and economic growth) had a significant effect on the banks' financial distress. This implies that the government as a regulator must maintain the level of growth and inflation that stabilize the economy so that banks can avoid financial distress. As for the banks' management, they have an obligation to support government policies in maintaining growth and inflation. Keywords: bank, financial distress, survival analysis.

scholarly journals Survival analysis of Indonesian banking companies

2020 ◽  
Vol 5 (2) ◽  
pp. 39-47
Author(s):  
Farida Titik Kristanti
Keyword(s):  
Survival Analysis ◽  
Financial Distress ◽  
Cox Model ◽  
Hazard Analysis ◽  
Jel Classification ◽  
Proportional Hazard ◽  
Factors Affecting ◽  
Financial Status ◽  
Cox Proportional Hazard ◽  
The Government

Objective – Financial distress is an undesirable condition for any company. To avoid financial distress, and improve the overall financial status of a company, an understanding of the factors affecting financial distress is necessary. This research aims to identify the determinants of banking financial distress. Methodology/Technique – In this study, 41 banks comprised the sample, selected using purposive sampling. The survival cox proportional hazard analysis method to identify the determinant factors of survival of Indonesian Banks. Findings –The results show that that macro indicators (inflation and economic growth) have a significant effect on the banks’ financial distress. This implies that the government as a regulator must maintain the level of growth and inflation that stabilizes the economy so that banks can avoid financial distress. As for the banks’ management, they have an obligation to support government policies in maintaining growth and inflation. Novelty – The study uses the cox proportional hazard model. Type of Paper: Empirical. JEL Classification: G2O, G33. Keywords: Bank; Cox Model; Financial Distress; Survival Analysis. Reference to this paper should be made as follows: Kristanti, F.T. 2020. Survival analysis of Indonesian banking companies, J. Fin. Bank. Review, 5 (2): 39 – 47 https://doi.org/10.35609/jfbr.2020.5.2(1)

Railway Passengers Travel Time Research Based on Survival Analysis

2014 ◽  
Vol 962-965 ◽  
pp. 2580-2583
Author(s):  
Ya Chen Zhao ◽  
Zhen Yu Zhang ◽  
Qing Jie Zheng
Keyword(s):  
Survival Analysis ◽  
Travel Time ◽  
Significant Influence ◽  
Hazard Rate ◽  
Family Income ◽  
Proportional Hazard ◽  
Rate Model ◽  
Analysis Method ◽  
Cox Proportional Hazard ◽  
Hazard Rate Model

With the development of the economy, people have higher request for the time. Studying the choice of travel about rail passengers becomes more significant. Due to these problem above and using survival analysis method, this paper builds travel time survival model based on questionnaire and have a whole analysis of the travel time of the rail passenger. Then, it concludes that most of the rail passengers’ travel time is below five hours. At last, this paper builds COX proportional hazard rate model of travel time and study the factors about travel time. The result demonstrates that the factor about whether it is students or not, family income, whether it is travelling and the number of packages has a significant influence on the travel time.

scholarly journals Factors that influence the recovery of TB patients using Cox proportional hazard regression

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
ZURNILA MARLI KESUMA ◽  
HIZIR SOFYAN ◽  
LATIFAH RAHAYU ◽  
WARDATUL JANNAH
Keyword(s):  
Control Program ◽  
Proportional Hazard ◽  
Cure Rate ◽  
Hazard Regression ◽  
Cox Proportional Hazard ◽  
National Tuberculosis Control Program ◽  
Record Data ◽  
National Tuberculosis ◽  
The Government ◽  
Cox Proportional Hazard Regression

Tuberculosis (TB) is an infectious disease which is one of the biggest health problems in the world, including Indonesia. The government, through the National Tuberculosis Control program, has made various efforts to control tuberculosis. However, this problem was exacerbated by the dramatic increase in the incidence of tuberculosis. This study aimed to determine the Cox proportional hazard regression model and the factors that affect the cure rate of TB patients. We used medical record data for inpatient TB patients for the period July-December 2017 at dr. Zainoel Abidin Hospital. The results showed that with α = 0.1, the factors that influenced the recovery of TB patients were the type of cough, the symptoms of bloody cough and symptoms of sweating at night.  There were 33.93% of patients who did not work. This category included students, domestic helpers, and those who did not work until they suffered from tuberculosis and were treated at dr. Zainoel Abidin Hospital. The hazard ratio (failure ratio) showed that the tendency or cure rate for TB patients who did not experience cough symptoms was 70% greater than patients who experienced phlegm cough symptoms. The cure rate for TB patients who experienced coughing up blood symptoms was 53% greater than patients without these symptoms. The cure rate for TB patients who experienced  symptoms of sweating at night was 54% greater than patients who did not sweat at night.

scholarly journals Microalbuminuria After Kidney Transplantation Predicts Cardiovascular Morbidity

2021 ◽  
Vol 8 ◽  
Author(s):  
Dana Bielopolski ◽  
Ruth Rahamimov ◽  
Boris Zingerman ◽  
Avry Chagnac ◽  
Limor Azulay-Gitter ◽  
...  
Keyword(s):  
Hazard Analysis ◽  
Cardiovascular Morbidity ◽  
Urine Collection ◽  
Proportional Hazard ◽  
Cvd Risk ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Cardiovascular Morbidity And Mortality ◽  
Independent Association

Background: Microalbuminuria is a well-characterized marker of kidney malfunction, both in diabetic and non-diabetic populations, and is used as a prognostic marker for cardiovascular morbidity and mortality. A few studies implied that it has the same value in kidney transplanted patients, but the information relies on spot or dipstick urine protein evaluations, rather than the gold standard of timed urine collection.Methods: We revisited a cohort of 286 kidney transplanted patients, several years after completing a meticulously timed urine collection and assessed the prevalence of major cardiovascular adverse events (MACE) in relation to albuminuria.Results: During a median follow up of 8.3 years (IQR 6.4–9.1) 144 outcome events occurred in 101 patients. By Kaplan-Meier analysis microalbuminuria was associated with increased rate of CV outcome or death (p = 0.03), and this was still significant after stratification according to propensity score quartiles (p = 0.048). Time dependent Cox proportional hazard analysis showed independent association between microalbuminuria and CV outcomes 2 years following microalbuminuria detection (HR 1.83, 95% CI 1.07–2.96).Conclusions: Two years after documenting microalbuminuria in kidney transplanted patients, their CVD risk was increased. There is need for primary prevention strategies in this population and future studies should address the topic.

scholarly journals LAKI-LAKI ATAU PEREMPUAN, SIAPA YANG LEBIH CERDAS DALAM PROSES BELAJAR? SEBUAH BUKTI DARI PENDEKATAN ANALISIS SURVIVAL

2019 ◽  
Vol 18 (2) ◽  
pp. 281
Author(s):  
Samsul Anwar ◽  
Inas Salsabila ◽  
Rahmadaini Sofyan ◽  
Zaujatul Amna
Keyword(s):  
Learning Process ◽  
Population Stratification ◽  
Sampling Technique ◽  
Female Students ◽  
Proportional Hazard ◽  
Analysis Method ◽  
Undergraduate Study ◽  
Cox Proportional Hazard ◽  
Scientific Disciplines ◽  
Second Period

This study aims to compare the level of intelligence between male and female, especially in the learning process in college. Someone who could complete their undergraduate study with a shorter period of time is assumed to have a higher level of intelligence. This research was conducted on Syiah Kuala University students who graduated on the second period of 2017 with a population of 758 people. The number of samples used was 262 people that were determined through Slovin formula with a margin error of 5%. The sampling technique used was Stratified Random Sampling with scientific disciplines as the basis for population stratification. The data analysis method used was the Cox Proportional Hazard (Cox PH) model to find a graduation hazard ratio based on gender and scientific disciplines variables. This study showed that female students have 125.5% potential to graduate faster compare to male. More detail, female students have the potential of 127% to graduate faster on the field of social science, economics and humanities, and 123.9% on the field of sciences and technology. Survival analysis also showed that female student has higher probability to be able to complete their studies faster. Accordingly, it can be concluded that female have a higher level of intelligence than male, especially in the learning process in college.

The Association Between Serum Human Epididymis Protein 4 Level and Cardiovascular Events in Patients with Chronic Obstructive Pulmonary Disease

2020 ◽  
Author(s):  
Hui Lin ◽  
Jianhong Xiao ◽  
Xianghua Su ◽  
Bin Song
Keyword(s):  
Blood Pressure ◽  
Chronic Obstructive Pulmonary Disease ◽  
Logistic Regression ◽  
Hazard Analysis ◽  
Chronic Obstructive ◽  
Proportional Hazard ◽  
Obstructive Pulmonary Disease ◽  
Human Epididymis Protein 4 ◽  
Human Epididymis ◽  
Cox Proportional Hazard

Abstract Objective Serum human epididymis protein 4 (HE4) is associated with immune and inflammatory responses. This study aimed to assess the performance of serum HE4 in the early detection of cardiovascular (CV) events in patients with chronic obstructive pulmonary disease (COPD). Methods Serum HE4 levels were measured in 199 patients with COPD, all of whom were prospectively followed up for a median period of 36 months (range = 3 months–38 months). Logistic regression analysis was performed to assess the association between cardiovascular disease (CVD) history and HE4 in patients with COPD. Cox proportional hazard analysis was performed to assess the prognostic value of serum HE4 for predicting CV events. Results Serum HE4 levels were higher in patients with COPD with CV events than in those without CV events (252.6 pmol/L [186.4–366.8] vs 111.0 pmol/L [84.8–157.1]; P <.001). The multivariate logistic regression model revealed that serum HE4 (odds ratio = 1.639; 95% confidence interval [CI], 1.213–2.317; Ptrend =.009) was independently associated with CVD history after adjusting for age, sex, body mass index, current smoking status, current alcohol consumption status, admission systolic blood pressure and diastolic blood pressure, hyperlipidemia, left ventricular ejection fraction, primary diseases, and laboratory measurements in patients with COPD at baseline. The multivariate Cox proportional hazard analysis revealed that serum HE4 (hazard ratio = 2.012; 95% CI, 1.773–4.469; P <.001) was an independent prognostic factor for CV events in these patients. The Kaplan-Meier analysis showed that the rate of CV events was higher in patients with COPD with HE4 levels above the median (187.5 pmol/L) than in those with HE4 levels below the median. Conclusion Our results showed that serum HE4 was significantly and independently associated with CVD history and had independent predictive value for CV events in patients with COPD. Serum HE4 may enable early recognition of CV complication development among patients with COPD.

Investigation and Analysis about the Construction and Utilization of Biogas Digester in Changyang County

2013 ◽  
Vol 773 ◽  
pp. 969-972
Author(s):  
Xiao Rong Zhao ◽  
Yu Hong Luo ◽  
Na Na Du ◽  
Ying Ping Huang
Keyword(s):  
Financial Support ◽  
Raw Material ◽  
Government Policies ◽  
Biomass Combustion ◽  
Analysis Method ◽  
Classification Analysis ◽  
Household Energy ◽  
Comprehensive Utilization ◽  
New Energy ◽  
The Government

In China countryside, the government policies encouraging individual farmers to construct biogas digester were strongly promoted to take clean biogas as the main household energy consumption, replacing the traditional way of biomass combustion energy. The construction and application situation of biogas digester since the new energy policies implementation was surveyed with the method of questionnaire survey, discussed and analyzed in detail with classification analysis method. The feedback of survey reports shows that three important factors including subsequent technical services, the shortage of financial support and insufficient fermentation raw material, have badly hampered the extensive construction of biogas digester and comprehensive utilization of biogas in different fields.

scholarly journals Rising Serum Uric Acid Level Is Negatively Associated with Survival in Renal Cell Carcinoma

Cancers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 536 ◽  
Author(s):  
Kendrick Yim ◽  
Ahmet Bindayi ◽  
Rana McKay ◽  
Reza Mehrazin ◽  
Omer A. Raheem ◽  
...  
Keyword(s):  
De Novo ◽  
Hazard Analysis ◽  
Stage I ◽  
Stage Iii ◽  
Proportional Hazard ◽  
Cox Proportional Hazard ◽  
Ckd Stage ◽  
All Cause Mortality ◽  
Statin Use ◽  
Significant Factors

Aim and Background: To investigate the association of serum uric acid (SUA) levels along with statin use in Renal Cell Carcinoma (RCC), as statins may be associated with improved outcomes in RCC and SUA elevation is associated with increased risk of chronic kidney disease (CKD). Methods: Retrospective study of patients undergoing surgery for RCC with preoperative/postoperative SUA levels between 8/2005–8/2018. Analysis was carried out between patients with increased postoperative SUA vs. patients with decreased/stable postoperative SUA. Kaplan-Meier analysis (KMA) calculated overall survival (OS) and recurrence free survival (RFS). Multivariable analysis (MVA) was performed to identify factors associated with increased SUA levels and all-cause mortality. The prognostic significance of variables for OS and RFS was analyzed by cox regression analysis. Results: Decreased/stable SUA levels were noted in 675 (74.6%) and increased SUA levels were noted in 230 (25.4%). A higher proportion of patients with decreased/stable SUA levels took statins (27.9% vs. 18.3%, p = 0.0039). KMA demonstrated improved 5- and 10-year OS (89% vs. 47% and 65% vs. 9%, p < 0.001) and RFS (94% vs. 45% and 93% vs. 34%, p < 0.001), favoring patients with decreased/stable SUA levels. MVA revealed that statin use (Odds ratio (OR) 0.106, p < 0.001), dyslipidemia (OR 2.661, p = 0.004), stage III and IV disease compared to stage I (OR 1.887, p = 0.015 and 10.779, p < 0.001, respectively), and postoperative de novo CKD stage III (OR 5.952, p < 0.001) were predictors for increased postoperative SUA levels. MVA for all-cause mortality showed that increasing BMI (OR 1.085, p = 0.002), increasing ASA score (OR 1.578, p = 0.014), increased SUA levels (OR 4.698, p < 0.001), stage IV disease compared to stage I (OR 7.702, p < 0.001), radical nephrectomy (RN) compared to partial nephrectomy (PN) (OR 1.620, p = 0.019), and de novo CKD stage III (OR 7.068, p < 0.001) were significant factors. Cox proportional hazard analysis for OS revealed that increasing age (HR 1.017, p = 0.004), increasing BMI (Hazard Ratio (HR) 1.099, p < 0.001), increasing SUA (HR 4.708, p < 0.001), stage III and IV compared to stage I (HR 1.537, p = 0.013 and 3.299, p < 0.001), RN vs. PN (HR 1.497, p = 0.029), and de novo CKD stage III (HR 1.684, p < 0.001) were significant factors. Cox proportional hazard analysis for RFS demonstrated that increasing ASA score (HR 1.239, p < 0.001, increasing SUA (HR 9.782, p < 0.001), and stage II, III, and IV disease compared to stage I (HR 2.497, p < 0.001 and 3.195, p < 0.001 and 6.911, p < 0.001) were significant factors. Conclusions: Increasing SUA was associated with poorer outcomes. Decreased SUA levels were associated with statin intake and lower stage disease as well as lack of progression to CKD and anemia. Further investigation is requisite.

Intensive Care Unit Admissions in Patients with Hematologic Malignancies: Outcomes and Prognostic Indicators.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 752-752 ◽  
Author(s):  
Diana Rubin-Superfin ◽  
Timothy Albertson ◽  
Carol M. Richman
Keyword(s):  
Confidence Interval ◽  
Risk Group ◽  
Hazard Analysis ◽  
Hematologic Malignancies ◽  
Hazard Ratio ◽  
Prognostic Indicators ◽  
Proportional Hazard ◽  
Icu Stay ◽  
Cox Proportional Hazard ◽  
Life Threatening

Abstract With intensification in treatments of hematologic malignancies (HM), the number of life-threatening complications requiring intensive care unit (ICU) admissions has increased. In general, cancer patients requiring ICU care are considered to have a poor prognosis, but it is a common belief among intensivists that patients with HM have an exceptionally grave prognosis. The aim of the current study was to assess outcomes in patients with HM admitted to the ICU for life-threatening complications. In addition, this study intended to identify early prognostic indicators that would be helpful in determining outcomes of ICU stay in this patient population. We performed a retrospective chart review of 185 consecutive critically ill patients with HM admitted to the ICU at a tertiary university hospital during a 5.5-year period. We collected variables ar admission and during admission and identified predictors of in-hospital mortality by Cox proportional hazard analysis. 88.7% patients had active disease, and 36.2% were bone marrow transplant (BMT) recipients. 24.3% were leukopenic (leukocyte count,&lt;1.0x109/L) at admission. Sepsis (30.3%), respiratory failure (17.3%), and post-surgical complications (16.2%) were the major reasons for ICU admissions. 22.2% required vasopressors at admission. 38.4% required mechanical ventilation (MV) and 9.2% needed hemodialysis during ICU stay. Crude ICU, in-hospital, and 6-month mortality rates were 19.5%, 8.1%, and 9.7%, respectively. MV (hazard ratio, 2.75), blood urea nitrogen (BUN)&gt;22 (hazard ratio, 1.81), pre-existent COPD/Asthma (hazard ratio, 3.24), urine output (UOP)&lt;400 ml/24hr (hazard ratio, 2.8) were associated with poor outcome, while high albumin (hazard ratio, 0.54) was associated with better prognosis in multivariate Cox proportional hazard analysis. Using an univariate logistic regression model, diagnosis of acute leukemia (odds ratio, 2.42; 95% confidential interval, 1.23–4.75) or allogeneic BMT (odd ratio, 4.33; 95% confidence interval, 1.17–16.06) were associated with poor outcome, whereas diagnosis of lymphoma (odd ratio, 0.34; 95% confidence interval, 0.16–0.72) or APACHE II&lt;22 (odd ratio, 0.33; 95% confidence interval, 0.17–0.65) were associated with better prognosis. Using these variables, we categorized our population into 4 groups: a very low risk group (lymphoma or other non-leukemia in combination with no need for MV and good UOP/normal BUN), a low risk group (lymphoma or other non-leukemia in combination with either MV, or low UOP/high BUN, or both), an intermediate risk group (leukemia or post-BMT in combination with either MV, or low UOP/high BUN, or neither negative factors), and a high risk group (leukemia or post-BMT in combination with MV and low UOP/high BUN). Survival probabilities at 6 months were 85%, 50%, 47%, and 16%, respectively (p&lt;0.0001). The survival of patients with HM in the ICU was compatible with overall ICU survival at our institution, contrary to prevailing opinion. However, we identified several early predictors of outcome that may be important in deciding on prolonged ICU stay.

The oncologic impact of pancreatic fistula after pancreatectomy in patients with pancreatic cancer.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 426-426
Author(s):  
Manabu Kawai ◽  
Yoshiaki Murakami ◽  
Seiko Hirono ◽  
Ken-Ichi Okada ◽  
Fuyuhiko Motoi ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Pancreatic Fistula ◽  
Hazard Analysis ◽  
High Volume ◽  
Postoperative Management ◽  
Proportional Hazard ◽  
Term Survival ◽  
Long Term Survival ◽  
Cox Proportional Hazard

426 Background: There is a few reports that evaluates the association between pancreatic and long-term survival after pancreatectomy in patients with pancreatic cancer. The aim of this study was to elucidate the oncological impact of pancreatic fistula (PF) on long-term survival after pancreatectomy in patients with pancreatic cancer by performing a survey of high volume centers for pancreatic resection in Japan. Methods: Between January 2001 and December 2012, 1,369 patients who underwent pancreatectomy for pancreatic cancer at 7 high-volume centers in Japan were retrospectively reviewed. Results: Pancreatic fistula(PF) occurred in 320 of 1,369 patients (23.5%), and these were classified based ISGPF as follows; grade A in 10.2%, grade B in 10.7%, and grade C in 2.6% of the patients. Median survival time (MST) in no fistula/grade A, grade B and grade C were 24.0, 26.3 and 11.0 months, respectively. MST in grade B PF was similar with that in no fistula/grade A. However, patients with grade C PF had a significantly poorer survival than those without (P<0.001). In the multivariate cox proportional hazard analysis, grade C PF was detected as an independent prognostic factor after pancreatectomy for pancreatic cancer (hazard ratio (HR) 2.15; 95% confidence interval (CI) 1.40-3.29; P< 0.001). Conclusions: Grade C PF adversely affects long-term survival of patients with pancreatic cancer undergoing pancreatectomy, although patients with grade B PF have similar prognosis with no fistula/grade A. Postoperative management to prevent grade C PF is important to improve prognosis in patients with pancreatic cancer undergoing pancreatectomy.

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