Value of Conglomerates and Capital Market Conditions

2006 ◽  
Author(s):  
An Yan
Keyword(s):  
Capital Market ◽  
Market Conditions

scholarly journals Factors Affecting the Indonesia Stock Exchange: A Multi-Index Approach

2020 ◽  
Vol 11 (2) ◽  
pp. 196
Author(s):  
Didik Susilo ◽  
Sugeng Wahyudi ◽  
Irene Rini Demi Pangestuti
Keyword(s):  
Capital Market ◽  
Stock Exchange ◽  
Composite Index ◽  
Market Conditions ◽  
Factors Affecting ◽  
Daily Data ◽  
Index Approach ◽  
The World ◽  
Exchange Condition ◽  
Regional Capital

This study examines the influence of world and regional capital market conditions on the Indonesian capital market (Indonesia Stock Exchange) condition. The DJIA (Dow Jones Industrial Average) index was used as a representative of the international capital market while the Hang Seng index and the Nikkei 225 index were used as a representative of regional capital market conditions. These two indices were chosen because the Japanese capital market was one of the most advanced capital markets in the world and the Hong Kong capital market, although not as big as Japan, still played an important role in the world. The data were obtained from Yahoo Finance during the period of 2014-2018. The dependent variable was the change in the JCI (Jakarta Composite Index), while the independent variables were changes in the index of DJIA, Nikkei 225 and Hang Seng index. Using daily data analyzed by the ARIMA method (1,1), it was found that there was a significant positive effect of DJIA with lag 1 and Hang Seng index on the JCI, but no significant effect was found from the Nikkei 225 index on the JCI.

scholarly journals Impacts of Climate Change and Remote Natural Catastrophes on EU Flood Insurance Markets: An Analysis of Soft and Hard Reinsurance Markets for Flood Coverage

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 146 ◽  
Author(s):  
Max Tesselaar ◽  
W. J. Wouter Botzen ◽  
Jeroen C.J.H. Aerts
Keyword(s):  
Climate Change ◽  
Natural Disaster ◽  
Capital Market ◽  
Flood Risk ◽  
Change Scenario ◽  
Flood Insurance ◽  
Market Conditions ◽  
Insurance Premiums ◽  
Natural Catastrophes ◽  
Reinsurance Market

The increasing frequency and severity of natural catastrophes due to climate change is expected to cause higher natural disaster losses in the future. Reinsurance companies bear a large share of this risk in the form of excess-of-loss coverage, where they underwrite the most extreme portion of insurers’ risk portfolios. Past experience has shown that after a very large natural disaster, or multiple disasters in close succession, the recapitalization need of reinsurers could trigger a “hard” reinsurance capital market, where a high demand for capital increases the price charged by investors, which is opposed to a “soft” market, where there is a high availability of capital for reinsurers. Consequently, the rising costs of underwriting are transferred to insurers, which ultimately could trigger higher premiums for natural catastrophe (NatCat) insurance worldwide. Here, we study the vulnerability of riverine flood insurance systems in the EU to global reinsurance market conditions and climate change. To do so, we apply the “Dynamic Integrated Flood Insurance” (DIFI) model, and compare insurance premiums, unaffordability, and the uptake for soft and hard reinsurance market conditions under an average and extreme scenario of climate change. We find that a rising average and higher variance of flood risk towards the end of the century can increase flood insurance premiums and cause higher premium volatility resulting from global reinsurance market conditions. Under a “mild” scenario of climate change, the projected yearly premiums for EU countries, combined, are €1380 higher under a hard compared to a soft reinsurance capital market in 2080. For a high-end climate change scenario, this difference becomes €3220. The rise in premiums causes problems with the unaffordability of flood coverage and results in a declining demand for flood insurance, which increases the financial vulnerability of households to flooding. A proposed solution is to introduce government reinsurance for flood risk, as governments can often provide cheaper reinsurance coverage and are less subject to the volatility of the capital markets.

scholarly journals PENGARUH TINGKAT INFLASI, SUKU BUNGA BI, DAN NILAI TUKAR RUPIAH TERHADAP IHSG

2021 ◽  
Vol 10 (2) ◽  
pp. 118-129
Author(s):  
Desi Ratjaya Ningsih ◽  
Nur Aida Arifah Tara ◽  
Muhdin Muhdin
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Quantitative Methods ◽  
Price Index ◽  
Market Conditions ◽  
Negative Effect ◽  
The Relationship

The Composite Stock Price Index (IHSG) is a description of information regarding the movements of all stock prices that affect capital market conditions and produce a trend. There are three factors that mainly influence the IHSG, namely inflation, BI interest rates, and the rupiah exchange rate. The purpose of this study was to examine the relationship between inflation, BI interest rates, rupiah exchange rate and the IHSG in the period of 2016-2020. The method in this research used quantitative methods. The results showed that inflation and BI interest rates have a negative and insignificant effect on the IHSG, while the Rupiah exchange rate has a significant negative effect on the IHSG.Keywords :IHSG, Inflasi, Suku Bunga BI, Nilai Tukar Rupiah

scholarly journals Effects of accounting information on excess return using Fama and French three-factor model in order to examine capital market reaction due to dividend announcement

2017 ◽  
Vol 1 (1) ◽  
pp. 39
Author(s):  
Diaraya Diaraya ◽  
Gagaring Pagalung ◽  
Abdul Hamid Habbe ◽  
Ratna Ayu Damayanti
Keyword(s):  
Data Analysis ◽  
Capital Markets ◽  
Capital Market ◽  
Factor Model ◽  
Accounting Information ◽  
Excess Return ◽  
Market Conditions ◽  
Stock Portfolios ◽  
Fama And French ◽  
Three Factor

This paper discussed the effects of accounting information on the excess return of shari’ah stocks and conventional stocks using Fama and French Three Factor Model, and examined the reaction of the capital markets as a result of the dividend announcement. The results and data analysis had yielded 8 stock portfolios. It can be concluded that the AER variable movements had an immediate reaction to the movement, meaning that the dividend announcement brought the content of the information to the capital markets or it can be said that the Indonesian capital market conditions have started heading to a semi-strong form.

scholarly journals Does Herding Behavior Exist in the IDX Sectoral Indices

2020 ◽  
Vol 5 (8) ◽  
pp. 642-648
Author(s):  
Ananda Anggara S ◽  
Matrodji H. Mustafa
Keyword(s):  
Stock Market ◽  
Capital Market ◽  
Stock Exchange ◽  
Market Condition ◽  
Herding Behavior ◽  
Market Conditions ◽  
Cross Sectional ◽  
Behavior Based ◽  
The Capital Market

This study aims to detect herding behavior based on cross-sectional dispersion in certain market conditions using CSAD method as proposed by Chiang, Li, & Tan (2010). CSAD method allows researchers to evaluate if there is a herding behavior in the capital market. This research uses 9 (nine) sectoral indices listed on the Indonesia Stock Exchange (IDX) in the 2013-2019 period. This study examines the hypothesis that herding behavior occurs in the sectoral indices of the Indonesia stock market in upward market conditions and downward market conditions. The results showed that herding behavior occurred in all of the sectoral indices in downward market condition, but herding behavior was not indicated at all in upward market condition.

scholarly journals PERAN EMAS SEBAGAI SAFE HAVEN BAGI SAHAM PERTAMBANGAN DI INDONESIA PADA PERIODE PANDEMI COVID-19

2021 ◽  
Vol 15 (1) ◽  
pp. 1-11
Author(s):  
Ashalia Fitri Yuliana ◽  
Robiyanto Robiyanto
Keyword(s):  
Data Analysis ◽  
Stock Market ◽  
Capital Market ◽  
Stock Exchange ◽  
International Market ◽  
Stock Index ◽  
Safe Haven ◽  
Market Conditions ◽  
First Choice

The purpose of this study is to analyze the role of gold as safe haven or hedge for mining stocks in Indonesia during the COVID-19 pandemic period. The data used in this study are mining stock index data (JASICA) daily closing on the Indonesia Stock Exchange and daily closing gold price data on the international market during the period January 2020 - May 2020. Data analysis was performed using QREG to see the potential of gold as a safe haven and GARCH 1.1 to see the potential of gold as a hedge. The results of this study are gold can serve as a robust safe haven for Indonesian mining stocks when there is extreme shocks occur in the stock market. In addition, in this study gold also can serve as a hedge for mining stocks in Indonesia. So investors are advised when the Indonesian Capital Market conditions are experiencing uncertainty as it is today and investors want to move their assets into safe and liquid instruments, gold is the first choice for investors to secure their assets because gold is proven to be the safe haven.

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