ֽ ϱ⡻ 5 ǿ м Ȱ ֵ Ʈ мڷ ʹ Ʈ ȯ濡 , ֽĽ , ؿֽڸ ģ IJϰ Ҵ. ⺻ Ģ ʴ ̴. å ϸ鼭 Ȯϰ ֽ ⺻ Ģ ϰ ִ. 40 Ѱ ֽĽ ѿ ڰ ȸ 忡 ִ Ǵ, ùٸ ڿ Ƴ´. ʺ ߱ڷ ߵϷ ڸ ϴ ȯ濡 ŵϴ ֽĽ忡 HTS ̿ ŸŽ ϴ ֽĽ ȭ ϱ 帧 д ˷ش.
ֽ. б ϰ ѱǰŷҸ ǿ 20 ٹߴ. ̻縦 Ͽ , ѱڿ ڻ㰡, ϳǿ ڰ Ȱߴ. 츮 1 Ǹ 30 ֽ ǰ 칰 ̴ֽ.
ǥ ֽ ϱ⡻ ֽ ʺ ̿ ֽ Թ, ڿ Ȱ ִ ǿ ڱ Ұϰ ִ. Ư ʸ ȭ 鿩 ٹ '丷Ҽ', ñ ذִ '' ڸ ִ ' ϱ' ʺ ڵ ְ ִ. δ ֽ м ϱ⡻, ѹα 1% ֽĺڵ须, ִ١ֽ ϱ 2 : ETFƮм ϱ⡻,Ҽ ֽڡ,ֽ Ļ,ֽĽ 뼼Ǵ ϱ⡻,Ҽ ֽڡ ִ.
غ. ֽ
|丷Ҽ| ֽİ Ұ
01 ֽ ?
̶ֽ ΰ?
ںݰ ֽ -,
ڿ , ȣΰ?
ֽ ִ -,
|| Ƹϸ鼭 鰡 ǹ
02 ְ ?
ְ ǥϴ ڽ
ɼ Ļǰ , KOSPI200
ڽ Ͽ
ڽǿ ڽ Ѵ ִ KRX100 KRX300
|| ֽĽ Ѱ ŷ
|丷Ҽ| ڸ ΰ, ڸ ΰ?
03 ֽڰ ݵ庸
ݵڴ , ֽڴ !
ڸ ϴ 1-ǥͷ
ڸ ϴ 2- ⵿ ȯݼ 鿡 ϴ
ڸ ϴ 3- ξ ũ
ݵڰ ϰ ʹٸ?
|| DLS, ETN, ISA ΰ?
04 ֽ ñ⸦ ϶!
⺯ ְ Ѵ
, ڴٴ GDP ǴѴ
|| GDP ̸, ˾ƺ?
ݸ κ ְ δ Ѵ
ڷγ ҵͰ а̿
ȭ ְ Ѵ
ȯ ְ ִ
ְ Ѵ
÷̼ ְ , ÷̼ ְ ϶
ȣǸ ְ ö
GDP ϵ尸 ǽ 뼼 ǴѴ
|| ֽ ൿ
|| GDP ȣȲ Ȳ Ǵϱ
|| ϵ尸 ֽ Ҹ Ǵϱ
05 ʺ ֽ 5
1-ֽڷ ִٴ ϶!
2-ǥͷ !
3-Ϸ տ ɾ !
4- ܰ ʱ ڱݾ̶ ض!
5-¸ ض!
|| ֽڸ ϴ ʿ ڱ ּ ?
ù° ֽ, Ÿź !
|丷Ҽ| ° ϴ ϱ
06 º !
|| ° ϱ
|| ۿ ʿ
|| HTS ġϱ
|| Ϸ ֽİŷѴ, MTS!
07 ȨƮ̵ ý ü
ȨƮ̵ ý 캸
|| Ը ° ȭ
|| ҷ
|| Ʈм, MTSε ϴ
|| 캸
08 Ÿü ̷?
ֽĽ Ÿü Ģ
|| ȣ
ֽ ŸϷ ȣ ؾ Ѵ
ȣ, ö ڸ
|| ȣ Ÿ ݰ ϱ
|| ȣ ð Ÿ ݰ ϱ
|| ŷ ?
09 Ÿֹ
Ÿֹ
|| Ÿֹ ϱ
|| ǰŷ ð ܿ ŷ ?
|| Ʈ ȶϰ ֽϱ
10 ֹ ǻ
Ҹż, Ҹŵ !
¿ ܵ!
ֹ Ȯ!
̼ŸŴ ﰡ!
|| ŸͿ 20% 絵ҵ漼 ΰȴ
|| , ű, , ̼ҿ ?
° ؾ !
|丷Ҽ| ġڸ ǻ Ǽ
11 ġ, ָ ߰ϴ
ġڴ ָ ϴ
ְ ġ ġϷ Ӽ ִ
ְ ġ ū ϱ?
|| ڰ ֿ ڽ ȣϴ ?
|丷Ҽ| ġڷ
12 ְ ش!
4
13 ڱںͷ(ROE)
1-ڱںͷ(ROE)
|| ڱںͷ(ROE)
14 ִ(EPS) ְͺ(PER)
2-ִ(EPS) ְͺ(PER)
|| HTS EPS, PER, PBR ǥ ãƺ
|| IFRS(ǥȸ) ġ ǥ ġ ?
|| ִ(EPS) ְͺ(PER)
15 ̺̿Ÿ(EV/EBITDA)
3-̺̿Ÿ(EV/EBITDA)
|| ̺̿Ÿ(EV/EBITDA)
16 ְڻ(PBR)
4-ְڻ(PBR)
|| ְڻ(PBR)
ROE PER, EV/EBITDA, PBR
|| ְ(PSR) Ȯ!
|丷Ҽ| 췮ֿ ֽ ż
17 ֽ ֽΰ?
ֽİ 췮 ֽ ִ!
ֽ ˾ƾ
|| ں Ը
|| ڿ ռ ں Ȯ ʼ!
|| ŷ K-OTC ڳؽ忡 Ͽ
18 ֵ,
ֽ ֵֿ ָ !
|| ֵֿ ˾Ƴ 3
19 ܱ/ ϱ
̶ܱ?
ܱ 4
ڰ ´ ܱΰ ٸ?
ܱ ŸŴ ϳ?
20 Ǵ ϱ
ִ?
Ǵ 1-ÿ ִ
|| ø ˷?
Ǵ 2- ǻ ġ ڷ
Ǵ 3-Ź ϱ
|| ΰ ˷ִ , ¥ ɱ?
21 HTS м ϱ
м ʼ üũƮ
22 Ģ ϱ
â
|| ڰ Ȳ ϴ
23 л ϱ
лڸ ؾ ϳ?
л Ʈ 3
л ʼ
|| ؿֽ ϱ
° Ʈ ְ Ѵ
|丷Ҽ| Ʈ ŸŽ
24 Ʈ ְ Ѵ
ż ϸ , ŵ ϸ ༼
ǥ м Ʈ!
25 Ʈ ΰ?
Ʈ?
||
26 Ʈ ְ ϱ
Ʈ Ÿ 캸
|| Ʈ
Ÿ 캸
|| ̶ ΰ?
|| ﺴ(߲ܲ) ﺴ(߲ܲ)
27 ŸŽ ľϱ
̶ ΰ?
|| ŷڵ
̿ 4 ŸŹ
|| Ǵϱ
|| ŸŽ Ǵϱ
28 ̵ռ Ÿϱ
̵ռ ǹ̿ ۼ
̵ռ Ȱ 1-ְ ľϴ ȰѴ
̵ռ Ȱ 2-żŵ ľϴ ȰѴ
̵ռ Ȱ 3- ȰѴ
|| ̵ռ Ǵϱ 1
̵ռ Ȱ 4-塤ܱ ̵ռ ̿ Ǵܿ ȰѴ
|| ũν ũν ̸, Ȱϴ°?
|| ̵ռ Ǵϱ 2
29 Ϻм ŸŽ ˾ƺ
Ϻм̶?
Ϻ Ʈ
|| Ϻм ŸŽ ˾ƺ
30 ŷ м
ŷ м
|| ŷ м
31 ǥ Ȱϱ
ǥ
мǥ-MACD
мǥ 1-Stochastic Fast & Slow
|| ijƽ ŸŽ ˾ƺ
мǥ 2-̰ݵ
|| ̰ݷ ŸŽ ˾ƺ
мǥ 3-ڽɸ
|| ڽɸ ŸŽ ˾ƺ
мǥ 4-P&FƮ
|| P&FƮ ŸŽ ˾ƺ
мǥ 5-Qȯ
尭 ǥ 1-OBV
|| ð̶?
尭 ǥ 2-Ź
|| Ź ˾ƺ
Ʈ ָϰų ٸ ȣ ?
|| Ʈ
32 Ʈ ڽñ ϱ
뼼 Ǵ 1- Ǵϱ
뼼 Ǵ 2-Ʈ ĵ̷ Ǵϱ
|| Ʈ ĵ̷п ְ 캸
뼼 Ǵ 3-ٿ ̷ Ǵϱ
|| ٿ 6 캸
|| 弼 Ǵ 弼 ?
33 ŸſĢ ϱ
ŸŽ ã?
|| ż ϱ
ż 4 Ģ
|| ǥ ϳ?
ŵ 5 Ģ
شȭ Ű ʿϴ
|| Ŵ ϴ ?
|| Ÿ⸦ ؾ ϳ, ƾ ϳ?
° ϱ
|丷Ҽ| ڰ ִ ſ
34 Ҹ
|| ð
|| ñ ݿ Ͽ
ñ?
|| ּ ڱݾ
ټ° 塤ܱ ϱ
|丷Ҽ| 10 11 Ģ
35 ں
ִ , ִ 强 Ư¡
ֽ ͷ-ְ ұ, ְ ұ?
ڰ ִ ϶
Ҽ
ÿ ġ ȭ ֽؾ Ѵ
|丷Ҽ| ܱŸ
36 Ҽ ΰ ϴ ܱŸ
ܱŸŶ? 360
ܱŸŴ Ȳ Ѵ
Ȳ мϷ ϶
|| ʶǾ ݵü ?
ܱŸ 4 Ģ
ܱŸ 5 Ģ
|| ܱŸŽ Ÿ
° ɼ ϱ
|丷Ҽ| 911 ɼ ̾߱
37 Ļǰ̶ ΰ?
Ļǰ̶?
Ļǰ ֽ ڻ 2
Ļǰ ŷ ʿѰ
Ļǰ Ư ִ°
38 ְ ŷ?
ŷ
ְ ŷ?
ְ ŷ
|| ¸ Ϸ?|Ļǰ ڰ ȭ!
|| ŸŴ ű ˾ƺ
|| ˾ƺ
|| ڱ ִ ˾ƺ
ŷ
Ź
̷а
|| 簡 â 캸
|| ֽļ̶?
39 ְ ŷ 4 ڱ
ŷ ڱ 1-ŷ
|| ¡
ŷ ڱ 2-ŷ
ŷ ڱ 3-Ͱŷ
ŷ ڱ 4- ŷ
|| α ŸŶ?
40 ְ ɼǰŷ?
ɼǰŷ
KOSPI200 ɼ ŷ
|| ɼ ˾ƺ
|| ɼǰ ˾ƺ
41 ְ ɼǰŷ 6 ڱ
ɼǰŷ ڱ 1-ݿɼ ż
ɼǰŷ ڱ 2-ݿɼ ŵ
ɼǰŷ ڱ 3-Dzɼ ż
ɼǰŷ ڱ 4-Dzɼ ŵ
ɼǰŷ ڱ 5-Ʈ ż Ʈ ŵ
ɼǰŷ ڱ 6-Ʈ ż Ʈ ŵ
|| ɼ ˾ƺ
ɼǰ
ɼ
ãƺ