Author Guidelines

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Each paper submitted to the Bulletin of Monetary Economics and Banking (BMEB) should consist of the following. Those papers not following these instructions will be returned to the submitting author for formatting. To avoid a delay in processing your submission, please follow these instructions:

 

(1)    Title Page: The title page should include paper title, and author names and affiliations. This should be a 1-page document. This page should be uploaded separate as “Title Page”. Save this document with the name “Title Page”. See example on Page 2.

(2)    The Manuscript should start with a title followed by a 100-word abstract. This should be labelled page 1. The second page should start with the introduction. See example on Page 3.

(3)    The manuscript as prepared in (2) should NOT include any author names (identifications) and affiliations. The manuscript, in other words, should be anonymous.

(4)    All manuscript should be in double spaced, in font size 12, and must use “Times New Roman” style.

(5)    All tables and figures should appear after the reference section and they should be SINGLE SPACED. Each table/figure should go on a separate page. See example of single spaced table on Page 4.

(6)    Each table and figure should include notes beneath the table/figure title. See example on next page.

(7)    Convert your two documents (the title page) and the manuscript (without author details) as a PDF file before uploading your two files.

(8)    Make your paper neat and attractive. If you want to view an example paper, send an email to the Managing Editor (paresh.narayan2014@gmail.com).

(9)    Make your tables consistent. See example table. Note: the table title is centred and in font size 12. The rest of the notes and table itself is in font size 10. Notice how the table is attractive and neat. We want reviewers to be attracted to your paper not discouraged therefore neatness reflects the identity of a research. Pay attention. For any questions email Managing Editor (paresh.narayan2014@gmail.com).

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EXAMPLE OF TITLE PAGE

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Have Bitcoin Price Growth Destabilised Indonesia’s Monetary System?

 

Eki Rachman, Bank Indonesia Institute, Bank Indonesia

Iwan Setiawan, Bank Indonesia Institute, Bank Indonesia

Mailing Address

Eki Rachman

Bank Indonesia Institute

Bank Indonesia

Jakarta, Indonesia

Telephone: XXXXXX

E-mail: XXXXXXXX

 

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EXAMPLE OF FIRST PAGE OF MANUSCRIPT

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Have Bitcoin Price Growth Destabilised Indonesia’s Monetary System?

ABSTRACT 

We examine the effect of bitcoin price growth (BPG) and its volatility on Indonesian monetary aggregates. We find no evidence that BPG predicts Indonesia’s monetary aggregates but reveals that BPG volatility predicts exchange rate returns and money velocity. We discover no evidence that volatilities of these aggregates are predictable either. Our results are robust to multiple additional tests including the use of control variables, different model specifications, and sub-sampling analysis. Our results have policy implications for other central banks in terms of reining in stability in the monetary system if bitcoin price growth is a concern.

 

Keywords: Bank Indonesia; Monetary Aggregates; Predictability; Robustness Tests.

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EXAMPLE OF TABLE NOTES

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Table I: Descriptive statistics of data

This table reports selected descriptive statistics of the data. The data series is noted in column1: BITCOIN and GBITCOIN are bitcoin price in US dollars and GBITCOIN is the growth rate of BITCOIN; CPI stands for conumser price index and INFLATION is the growth rate in CPI; ER stands for bilateral exchange rate (Rupiah per US dollar) while GER is simply the growth rate of ER; VM1 and VM2 stand for money velocity (M1 and M2 scaled by nominal gross domestic product (GDP))l and IR_1 and IR_2 are, respectively, the 1-month and 3-month interest rate series. For each of the 11 time-series data, we report mean, standard deviation (SD), maximum. Minimum. Skewness, kurtosis, and ADF test statistics. The ADF test is based on a model with a constant only. The optimal lag length used to control for serial correlation is obtained using the Schwarz information criteria. We set the maximum lag length to 8. The p-values testing the null hypothesis of a unit root are reported.

Variables

Mean

SD

Maximum

Minimum

Skewness

Kurtosis

ADF

BITCOIN

682.36

1258.30

7828.43

2.97

3.71

18.23

0.99

CPI

125.79

11.98

143.21

106.42

-0.15

1.63

0.85

ER

11813.08

1752.85

14645.00

8780.00

-0.43

1.65

0.47

GDP

904058.80

149610.80

1173821.00

670756.80

0.11

1.88

0.99

VM1

0.94

0.04

1.05

0.85

-0.06

3.00

0.31

VM2

0.23

0.01

0.26

0.21

0.98

4.03

0.03

INFLATION

0.40

0.54

3.02

-0.45

2.29

10.92

0.00

GER

0.61

2.17

6.05

-6.85

-0.17

4.99

0.00

IR_1

6.13

1.27

8.55

3.98

0.04

1.87

0.45

IR_3

6.56

1.29

8.86

4.21

-0.27

1.85

0.34

GBITCOIN

8.85

27.40

127.37

-50.57

1.30

7.12

0.00