scholarly journals Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments

Author(s):  
Hartmut Ziegler ◽  
Tilo Nietzschmann ◽  
Daniel A. Keim
2018 ◽  
Vol 20 (10) ◽  
pp. 103041 ◽  
Author(s):  
Hirdesh K Pharasi ◽  
Kiran Sharma ◽  
Rakesh Chatterjee ◽  
Anirban Chakraborti ◽  
Francois Leyvraz ◽  
...  

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Rusiadi

The purpose of this study is to obtain a predictive pattern of the integration of ASEAN financial markets with the Multifactor Arbitrage Pricing Theory (APT) approach. The specific target in this study is Analyzing the effectiveness of the Multifactor APT Model in forming a predictive pattern of financial market integration in Southeast Asian countries, both in the short, medium and long-term. Establish the fastest and most appropriate ASEAN country in predicting financial market integration in Southeast Asian countries, both in the short, medium and long-term. The hypothesis in this study is that the Multifactor APT model is useful in forming a predictive pattern of financial market integration in Southeast Asian countries. Indonesia is the fastest and appropriate ASEAN country to use in predicting the occurrence of financial market integration in Southeast Asian countries. The data analysis model used is Vector Autoregression (VAR), Impulse Response Function (IRF), Forecast Error Variance Decomposition (FEVD). The assumption test used is Stationarity Test, Cointegration Test, Lag Stability Test, VAR Structure and Determination of Optimal Lag Levels. The results of data analysis with VAR are expected to be able to form a pattern of predictions of effective financial market integration in ASEAN countries. Varian Decomposition results can determine which ASEAN countries are the fastest and most appropriate in predicting the occurrence of financial market integration in Southeast Asian countries, both in the short, medium and long-term.


2015 ◽  
Vol 18 (4) ◽  
pp. 104-112
Author(s):  
Tung Thanh Le

Over nearly three decades, remittances are one of the most important sources of foreign currency in ensuring balance of payments, foreign currency reserves increase, stabilize exchange market and financial market in Vietnam. This paper uses the AutoregressiveDistributed Lag model (ARDL) to study the relationship between remittances and economic growth in Vietnam in 1990-2014. Results of Perasan’ test confirmed the existence of long-term relationship between remittances and economic growth in Vietnam. The results also provide evidence of the positive impact of remittances to economic growth both in the short and long term.


Author(s):  
Kuo-Chung Chu ◽  
Hsin-Ke Lu ◽  
Peng-Hua Jiang

This article describes how the phenomenon of an aging population in Taiwan has become increasingly evident in recent years as the elderly population dependency ratio has gradually risen. Therefore, a study on long-term care (LTC) resources has been a key issue that had needed discussion. Currently, Taiwan's government has enacted legislation and policies related to LTC, but most of them involved institutional care. The traditional idea of most elderly is aging in place, so this study has become very necessary. The study analyzed the Open Government Data of LTC to discuss the home care service resource utilization with regard to LTC.


Author(s):  
Omar Alonso Patiño Castro

This chapter presents the main guidelines for microfinance to be a successful financial model, mainly for who do not have any access to the traditional financial market. The model can be active for reaching one of its main objectives (to reach poverty eradication worldwide). This will be achieved only if the microcredit institutions do not consider the operating conditions that may oblige them to be part of the traditional financial system. Nowadays, governments, financial sectors, and multilateral agencies have focused their efforts on financial inclusion, as a first experience before using a broad portfolio of microcredit services.


2019 ◽  
pp. 340-361
Author(s):  
Omar Alonso Patiño Castro

This chapter presents the main guidelines for microfinance to be a successful financial model, mainly for who do not have any access to the traditional financial market. The model can be active for reaching one of its main objectives (to reach poverty eradication worldwide). This will be achieved only if the microcredit institutions do not consider the operating conditions that may oblige them to be part of the traditional financial system. Nowadays, governments, financial sectors, and multilateral agencies have focused their efforts on financial inclusion, as a first experience before using a broad portfolio of microcredit services.


Author(s):  
Ashlesha Khedekar-Swaminathan

The automatic use of heuristics, the effects of framing, and the tendency to procrastinate when combined with the risk and uncertainty inherent in the financial environment can lead to financial instability for ordinary investors. This chapter explores established behavioral tendencies with respect to financial decision making within the framework of behavioral economics: how and why heuristics are used to make decisions, how different choice frames influence decisions, the crucial impact of biases like loss aversion on decision outcomes. The chapter also explores critical factors that induce the tendency to procrastinate saving and investing. The chapter suggests strategies that investors can use to achieve long-term financial stability by achieving predetermined financial goals as well as protect their investments from depreciating in value in the context of financial market instability.


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