Bramantyo Djohanputro
PPM School of Management

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The Dominance of the Agency Model on Financing Decisions Bramantyo Djohanputro
Gadjah Mada International Journal of Business Vol 17, No 2 (2015): May-August
Publisher : Master in Management, Faculty of Economics and Business, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (267.116 KB) | DOI: 10.22146/gamaijb.6908

Abstract

There are some issues about how companies consider their financing. These issues are related to the amount, source, type, and the structure of such financing. So far, there is no uniform model that is able to explain how companies deal with these issues. There are three competing, dominant theories of financing decision making, i.e. the Pecking Order Theory, the Static Trade-off Theory, and the Agency Model Theory. This study attempts to explore which theory explains the best way for companies in the consumer industry to decide their financing method. There are five hypotheses to be tested in this study. Using data from public listed companies on the Indonesian Stock Exchange from 2008 to 2011, it seems that the Agency Model Theory is more dominant than the other two theories in explaining the way companies fulfill their financing needs.
MARKET RETURN, VOLATILITY AND TRADING VOLUME DYNAMICS AFTER ECONOMIC CRISIS Bramantyo Djohanputro
Journal of Indonesian Economy and Business (JIEB) Vol 26, No 3 (2011): September
Publisher : Faculty of Economics and Business, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.707 KB) | DOI: 10.22146/jieb.6261

Abstract

This paper attempts to explore the relationships of return – trading volume and volatility – trading volume. Trading volume may represent a proxy of information, liquidity, andmomentum. The up and down of trading volume, therefore, contain certain information that can be extracted by traders to make investment decision. Regressions of market returnon its lags, volume, and conditional variance and regressions of volatility on its lags, volume, and conditional variance are employed. Traders may respond positive informationdifferently from negative information. To accommodate such behaviour, threshold autoregressive conditional heteroskedasticity or TARCH is employed. Using market data of Indonesia Stock Exchange between economic crisis and before sub-prime mortgage crisis (from year 2000 to 2007) indicate the existence of return – volume relationships as well as volatility – return relationships albeit not very strong. There is also an indication that traders respond positive information differently from negative information concerningreturn movements but there is no indication concerning volatility movements.Keywords: return, volatility, volume, TARCH