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국제 에너지가격 변동요인 분석을 이용한 에너지 포트폴리오 구성에 관한 연구 한·중 경제협력의 중장기 전략 개발 기본연구보고서 10-02 최도영 기본 10 02 2 0 1 0 · 12

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  • 10-02

    1002

    201012

    02 2011.2.8 11:8 AM 1 3 MAC2PDF_IN 300DPI 175LPI T

  • 10-02

    2011.2.8 11:28 AM 2 3 MAC2PDF_IN 300DPI 175LPI T

  • :

    :

  • i

    1.

    2009 1 ,

    84% .

    .

    ,

    . ,

    ,

    (implication) .

    Markowitz(1952) -(mean-variance model)

    (dominance principle)

    .

    ,

    (market risk)

    ,

  • ii

    .

    .

    .

    , -

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    2.

    1 .

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    Markowitz(1952) -

    ,

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    ,

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    ,

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    ,

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    -

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    -

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    , ,

    26.5%,

  • iv

    45.8%, 27.7%

    . ,

    2009

    ,

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    3.

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  • v

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  • Abstract i

    ABSTRACT

    1. Research Purpose

    In 2009, approximately 84% of primary energy consumption in

    Korea was composed of fossil fuels such as oil, natural gas, and coal.

    Moreover, because the Korean economy have entirely imported all of

    fossil fuels, fluctuations of international prices of fossil fuels have

    seriously affected not only economic performances, but also formation

    of energy policy.

    In fact, as fossil fuels are highly correlated with each other, the

    fluctuations of international prices of fossil fuels can be decomposed

    into two components: a common and idiosyncratic part. Therefore,

    employing Markowitz's mean-variance model, we are able to interpret

    the common part of the fluctuations of international prices of fossil

    fuels as the market risk which all fossil fuels are confronted with. On

    the other hand, the idiosyncratic part can be thought as the

    idiosyncratic risk which comes from peculiar and specific market

    conditions of each fossil fuel. As a result, the idiosyncratic risk of the

    fluctuations of the international price of each fossil fuel could be

    minimized by properly constructing a portfolio of the fossil fuel

    consumption. Thus, decomposing the fluctuations of international

    prices of fossil fuels into these two parts and employing the portfolio

    selection theory make it possible to construct an optimal fossil energy

  • ii

    consumption portfolio which minimize risks of a return from energy

    consumption, given each return level.

    The main purpose of our study is to construct this hypothetical

    energy consumption portfolio, based on the modern financial theory.

    This optimal energy consumption portfolio might be used as a

    reference to evaluate the current energy consumption structure and to

    rebuild energy policy.

    2. Summary

    In constructing the optimal energy consumption portfolio, we define

    returns on fossil fuel consumption as TOE (Ton of Oil Equivalent)

    per 1 cent. In general, as the calorie unit for TOE of each fossil fuel

    is not altered, fluctuations of the growth rate of returns on each fossil

    fuel consumption presented by the TOE unit mainly is due to the

    fluctuations of the international price of each fossil fuel. Hence, the

    optimal fossil fuel consumption portfolio to minimize variations of the

    growth rates of returns is same to the fossil fuel consumption

    portfolio to minimize variations of the growth rates of international

    prices of fossil fuels.

    To construct the optimal fossil fuel consumption portfolio, first we

    decompose the growth rates of returns into two parts, the common

    and idiosyncratic part, using the dynamic latent common factor model.

    Then, based on the dominance principle indicated by the

  • Abstract iii

    mean-variance model, we construct the efficient frontier of fossil fuel

    consumption portfolio. Meanwhile, before building the efficient

    frontier, we empirically investigate how the common part of the

    growth rates of returns on fossil fuel consumption react to certain

    structural shocks to global economic conditions, employing a SVAR

    (Structural Vector Autoregression Model). Thus, we identify two

    structural shocks, aggregate demand and supply shocks in the global

    economy, and then, estimate the impulse response functions of the

    common part.

    Our finding is that in response to shocks to increase aggregate

    demand, the common part of the growth rates of returns rises. It

    means that shocks to increase the aggregate demand in the global

    economy increase international prices of the fossil fuels. However, the

    common part declines in response to shocks to increase total factor

    productivity of the global economy. It means that since a rise in total

    factor productivity increases the marginal product of fossil fuels, the

    shocks to total factor productivity decreases the growth rates of

    returns on fossil fuels.

    The optimal fossil fuel consumption portfolio, which has the

    smallest risk of the growth rates of returns, on the efficient frontier

    implied by the mean-variance model is consisted of the following

    consumption combination of fossil fuels : 26.5% of oil, 45.8% of

    natural gas and 27.7% of coal. Furthermore, based on the portfolios of

    fossil fuel consumption on the effective frontier, the actual fossil fuel

  • iv

    consumption portfolio of the Korean economy in 2009 seems to be

    somewhat inefficient.

    3. Research Results and Policy Implications

    In our study, it has been turned out that oil is the primary factor to

    deteriorate returns on the fossil fuel consumption portfolio and to

    increase variations of the returns. This result is in line with the recent

    studies which indicate decreasing dependency on oil consumption

    alleviates the effects of oil shocks on the economy. Therefore, our

    results show that it is crucial to change the current energy

    consumption structure by substituting other energy resources for oil, in

    order to improve returns on the fossil fuel consumption portfolio. In

    addition, it is also important to develop more efficient energy

    technology and improve total factor productivity.

    One limitation of our study is that we only consider the calorie unit

    for TOE to calculate returns on fossil fuel consumption. However, as

    fossil fuels considered in our study usually emit greenhouse gases,

    they cause social costs, causing air pollution. Thus, it is important to

    include these socal costs in calculating returns on the fossil fuel

    consumption. We leave this task for our future research.

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    39

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    2. (Sign Restrictions) 42

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    3. 43

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    4. 49

    55

    1. - 55

    2. 57

    3. 59

    63

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    2. 68

    73

    77

  • iii

    14

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    ( ) 33

    () 34

    () 34

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    65

    1 72

  • iv

    [ -1] 12

    [ -2] 17

    [ -1] 36

    [ -2] 36

    [ -3] 37

    [ V-1] 52

    [ V-2] 54

    [ -1] - 59

    [ -1] 66

    [ -2] 67

    [ -3] ( ) 69

    [ -4] ( ) 70

  • 1

    2009 1 ,

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    .

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    (implication)

    . Markowitz(1952) -

    (mean-variance model) (dominance principle)

    .

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    (market risk)

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    Pindyck(1999) 127 ,

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    Pindyck(1999)

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    (co-movement)

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    Pindyck and Rotemberg(1999)

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  • 6

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    (herd behavior)

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    Cashin, McDermott and Scott(1999)

    (concordance) Pindyck and Rotemberg(1999)

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    Palaskas and Varangis(1991), Palaskas(1993),