Corporate bonds, exchange rates and business strategy

2021 ◽  
Vol 12 (2) ◽  
pp. 97
Author(s):  
Konstantina Vartholomatou ◽  
Athanasios Tsagkanos ◽  
Konstantina Pendaraki
Keyword(s):  
Exchange Rates ◽  
Business Strategy ◽  
Corporate Bonds

Corporate bonds, exchange rates and business strategy

2021 ◽  
Vol 12 (2) ◽  
pp. 97
Author(s):  
Konstantina Vartholomatou ◽  
Konstantina Pendaraki ◽  
Athanasios Tsagkanos
Keyword(s):  
Exchange Rates ◽  
Business Strategy ◽  
Corporate Bonds

scholarly journals The Development of Corporate Bond Markets: A Cross-Country Analysis

2015 ◽  
Vol 8 (1) ◽  
pp. 50 ◽  
Author(s):  
Dung P. Le ◽  
Quang T. T. Nguyen ◽  
Toan M. Nguyen
Keyword(s):  
Developing Countries ◽  
Exchange Rates ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Corporate Bonds ◽  
Corporate Bond ◽  
Bond Markets ◽  
Exchange Rate Variability ◽  
Country Analysis ◽  
Cross Country

<p>This study examines how macro-determinants influence corporate bonds by firms in 90 developed and developing countries over the period of 1970-2013. Employing Generalized Method of Moments (GMM) model, the study explores whether exchange rate variability and the openess of the economy have a significant impact on corporate bonds of firms. Specifically, it examines whether increased variability of exchange rates, increases the issuing of corporate bonds by the firms in these countries, or whether corporate bonds are used less by firms in countries where there is greater openness.<strong></strong></p>

Corporate bonds, exchange rates and memorandum: Evidence from Greece and Ireland

2020 ◽  
Author(s):  
Konstantina Vartholomatou ◽  
Konstantina Pendaraki ◽  
Athanasios Tsagkanos
Keyword(s):  
Exchange Rates ◽  
Corporate Bonds

scholarly journals Prediksi Nilai Tukar Dollar (USD) ke Rupiah (IDR) menggunakan Artificial Neural Network

2019 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Ahmad Saparudin ◽  
Tiya Maulidina
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Exchange Rates ◽  
Business Strategy ◽  
Training Dataset ◽  
Python Programming Language ◽  
The Future ◽  
Business Forecasting ◽  
Artificial Neural ◽  
Python Programming

Prediction (forecasting) is the activity of predicting events in the future. In terms of business forecasting has many uses, especially for the leadership of the company one of them i.e. to define its business strategy in the future. In this research, carried out the predictions of exchange rates dollar (USD) to Indonesian rupiah (IDR) on 11/03/2019 - 15/03/2019 using artificial neural networks (ANN) with a training dataset from 01/01/2018 - 08/03/2019. Establishment of ANN in the study formed in the Python programming language. Based on the research conducted, a decrease in the price of the exchange rate of USD to IDR on 11/03/2019 – 15/03/2019.

Human Capital and Global Business Strategy

2013 ◽  
Author(s):  
Howard Thomas ◽  
Richard R. Smith ◽  
Fermin Diez
Keyword(s):  
Human Capital ◽  
Business Strategy ◽  
Global Business

Democratization and exchange rates

2013 ◽  
Author(s):  
Byunghwan Son
Keyword(s):  
Exchange Rates
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