Fundamental Factors Affecting Electric Utility Bond Ratings: A Quantitative Approach

1982 ◽  
Vol 38 (5) ◽  
pp. 59-61 ◽  
Author(s):  
Robert B. Morris
Keyword(s):  
Electric Utility ◽  
Quantitative Approach ◽  
Bond Ratings ◽  
Factors Affecting

DETERMINAN INFLASI DI INDONESIA PERIODE 1980-2015

2016 ◽  
Vol 21 (1) ◽  
pp. 1-7
Author(s):  
Risna Risna
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Government Spending ◽  
Positive Impact ◽  
Secondary Data ◽  
Quantitative Approach ◽  
State Spending ◽  
Factors Affecting ◽  
The Interest Rate

This study aims to determine the effect of government spending, the money supply, the interest rate of Bank Indonesia against inflation.This study uses secondary data. Secondary data were obtained directly from the Central Bureau of Statistics and Bank Indonesia. It can be said that there are factors affecting inflationas government spending, money supply, and interest rates BI. The reseach uses a quantitative approach to methods of e-views in the data. The results of analysis of three variables show that state spending significantand positive impact on inflationin Indonesia, the money supply significantand negative to inflationin Indonesia, BI rate a significantand positive impact on inflation in Indonesia

Mixed qualitative–quantitative approach for bidding decisions in construction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emad Mohamed ◽  
Parinaz Jafari ◽  
Ahmed Hammad
Keyword(s):  
Expert System ◽  
Expert Knowledge ◽  
The Body ◽  
Decision Makers ◽  
Quantitative Approach ◽  
Rule Based ◽  
Content Type ◽  
Factors Affecting ◽  
Qualitative And Quantitative ◽  
Mixed Approach

PurposeThe bid/no-bid decision is critical to the success of construction contractors. The factors affecting the bid/no-bid decision are either qualitative or quantitative. Previous studies on modeling the bidding decision have not extensively focused on distinguishing qualitative and quantitative factors. Thus, the purpose of this paper is to improve the bidding decision in construction projects by developing tools that consider both qualitative and quantitative factors affecting the bidding decision.Design/methodology/approachThis study proposes a mixed qualitative-quantitative approach to deal with both qualitative and quantitative factors. The mixed qualitative-quantitative approach is developed by combining a rule-based expert system and fuzzy-based expert system. The rule-based expert system is used to evaluate the project based on qualitative factors and the fuzzy expert system is used to evaluate the project based on the quantitative factors in order to reach the comprehensive bid/no-bid decision.FindingsThree real bidding projects are used to investigate the applicability and functionality of the proposed mixed approach and are tested with experts of a construction company in Alberta, Canada. The results demonstrate that the mixed approach provides a more reliable, accurate and practical tool that can assist decision-makers involved in the bid/no-bid decision.Originality/valueThis study contributes theoretically to the body of knowledge by (1) proposing a novel approach capable of modeling all types of factors (either qualitative or quantitative) affecting the bidding decision, and (2) providing means to acquire, store and reuse expert knowledge. Practical contribution of this paper is to provide decision-makers with a comprehensive model that mimics the decision-making process and stores experts' knowledge in the form of rules. Therefore, the model reduces the administrative burden on the decision-makers, saves time and effort and reduces bias and human errors during the bidding process.

scholarly journals Does E-Money Affect Inflation In Indonesia

2021 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Andres Dharma Nurhalim
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Exchange Rates ◽  
Money Supply ◽  
Quantitative Approach ◽  
Electronic Money ◽  
Factors Affecting ◽  
Main Factors ◽  
The Interest Rate ◽  
Main Components

The purpose of this study aims to explain the effect of electronic money on inflation and how much influence it has on the Indonesian economy. In this study the authors used a quantitative approach. The variables used are inflation, electronic money, exchange rate, money supply (M1), and BI interest rate. Result: The previous money supply (LQMprev) and the interest rate (BI Rate) were the main factors affecting inflation. In this result, e-money and exchange rates are not the main components driving inflation. Based on SPPS processing using regression, e-money and exchange rates do not have a significant effect on inflation in Indonesia, but LQMprev has a significant effect on inflation. From the results of this study it is still too early to analyze the effect of e-money on inflation because it is still relatively new in Indonesia.

scholarly journals Factors Affecting Corporate Bond Ratings in Indonesia

2021 ◽  
Vol 3 (2) ◽  
pp. 98-107
Author(s):  
Ruspriono ◽  
Bambang Santoso Marsoem
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sampling Method ◽  
Stock Exchange ◽  
Corporate Bond ◽  
Bond Ratings ◽  
Factors Affecting ◽  
Ordinal Logistic Regression Analysis ◽  
Negative Effect ◽  
Positive Effect

Bonds provide a rating signal for the issuer and investors of the ability to pay off a bond. This study aims to explain the factors that affect the ranking in terms of accounting and non-accounting aspects. This study uses all corporate bonds actively traded on the Indonesia Stock Exchange (IDX) and are denominated in rupiah as of December 31, 2019, sourced from Bloomberg, which consists of 996 companies. The method in the sample is the purposive sampling method. This sample consists of 35 companies with 111 bonds, testing the hypothesis using ordinal logistic regression analysis with SPSS Version 25.0 data processing tools. The results showed that liquidity had a positive effect on bond ratings, activity does not affect bond ratings, leverage, profitability, maturity, and auditor reputation have a negative effect on bond ratings.

scholarly journals Investigating crucial factors affecting pharmacy students’ intention to work in rural area: A quantitative approach

2019 ◽  
pp. 2157-2168 ◽  
Author(s):  
Mariatul Fadilah ◽  
Arun Kumar Tarofder ◽  
S. M. Ferdous ◽  
Rizma Adlia Syakurah
Keyword(s):  
Rural Area ◽  
Quantitative Approach ◽  
Pharmacy Students ◽  
Factors Affecting

Fixed Coverage as a Determinant of Electric Utility Bond Ratings

1978 ◽  
Vol 7 (2) ◽  
pp. 45 ◽  
Author(s):  
George E. Pinches ◽  
J. Clay Singleton ◽  
Ali Jahankhani
Keyword(s):  
Electric Utility ◽  
Bond Ratings

scholarly journals Analysis of financial and non-financial factors affecting bond ratings

2020 ◽  
Vol 485 ◽  
pp. 012019
Author(s):  
I Fadah ◽  
A Ayuningtyas ◽  
N Puspitasari ◽  
I B Yuswanto
Keyword(s):  
Bond Ratings ◽  
Factors Affecting ◽  
Financial Factors

scholarly journals EVALUASI PROGRAM PENGUATAN PEREMPUAN USAHA KECIL (PUK) (EVALUASI SUMATIF TERHADAP PROGRAM PENGUATAN PUK YANG DILAKUKAN ASOSIASI PENDAMPING PEREMPUAN USAHA KECIL DI SOLO)

2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Agung Cahyanto ◽  
Ety Rahayu
Keyword(s):  
Quantitative Approach ◽  
Summative Evaluation ◽  
Production Volume ◽  
Chi Square ◽  
Factors Affecting ◽  
Outcome Indicators ◽  
Business Innovation

This research is a study summative evaluation PUK Strengthening Program in Solo with a quantitative approach. The goal is to measure outcome indicators and analyzes the factors that influence the achievement of outcomes based on aspects of the process and input. The analysis was done by means of univariate and bivariate with cross table, Chi Square and Kendall Tau. The results showed that the outcome indicators has not been achieved. Factors that influence the outcome of the process aspect are ability to identify and solve problems, quality of production, volume of business, business innovation, profit exhibitions, as well as participation in training. Input factors affecting outcome that is age and education of respondents.

scholarly journals FAKTOR DETERMINAN YIELD OBLIGASI PERUSAHAAN KORPORASI

2020 ◽  
Vol 11 (2) ◽  
pp. 117-128
Author(s):  
Maunatun Zulfa ◽  
Aida Nahar
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Stock Exchange ◽  
Analytical Tool ◽  
Corporate Bond ◽  
Company Size ◽  
Bond Yields ◽  
Bond Ratings ◽  
Factors Affecting ◽  
Bond Liquidity

Abstract The aims of this research was to analyze the effect of interest rates, bond ratings, company size, exchange rates, bond coupons, matutity, bond liquidity, solvency, and profitability on corporate bond yields. Yields have been received by investors from the bond investment profits are always fluctuating. The total number of population in this study were all corporate companies that issue bonds listed on the Indonesia Stock Exchange (IDX) for the 2015-2017 period. A total of 90 bonds from 12 corporate companies were sampled in this study. The analytical tool used is multiple linear regression. The results of this study indicate that the dominant factors affecting bond yields are bond coupons and maturity. Bond coupons have a positive and significant effect on bond yields. The result of the research showed that matutity could prove to produce a negative and significant effect on bond yields. Keywords: Bond coupons; bond liquidity; bond ratings; bond yields; company size; exchange rates; interest rates; matutity; profitability; solvency Abstrak Tujuan dari penelitian ini adalah untuk menganalisis pengaruh tingkat bunga, peringkat obligasi, ukuran perusahaan, nilai tukar, kupon obligasi, matutity, likuiditas obligasi, solvabilitas, dan profitabilitas terhadap hasil obligasi perusahaan. Imbal hasil yang diterima investor dari investasi obligasi selalu berfluktuasi. Jumlah total populasi dalam penelitian ini adalah semua perusahaan perusahaan yang menerbitkan obligasi yang terdaftar di Bursa Efek Indonesia (BEI) untuk periode 2015-2017. Sebanyak 90 obligasi dari 12 perusahaan perusahaan dijadikan sampel dalam penelitian ini. Alat analisis yang digunakan adalah regresi linier berganda. Hasil penelitian ini menunjukkan bahwa faktor dominan yang mempengaruhi hasil obligasi adalah kupon obligasi dan jatuh tempo. Kupon obligasi memiliki efek positif dan signifikan terhadap hasil obligasi. Hasil penelitian menunjukkan bahwa matutity dapat membuktikan menghasilkan efek negatif dan signifikan terhadap hasil obligasi. Kata kunci: Kupon obligasi; likuiditas obligasi; peringkat obligasi; hasil obligasi; ukuran perusahaan; nilai tukar; suku bunga; matutity; keuntungan; solvabilitas

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