April 22, 2018, 3:20 am
Facebook iconTwitter iconYouTube iconGoogle+ icon
1 Philippine Peso = 0.07053 UAE Dirham
1 Philippine Peso = 1.99923 Albanian Lek
1 Philippine Peso = 0.03418 Neth Antilles Guilder
1 Philippine Peso = 0.38677 Argentine Peso
1 Philippine Peso = 0.02467 Australian Dollar
1 Philippine Peso = 0.03418 Aruba Florin
1 Philippine Peso = 0.03841 Barbados Dollar
1 Philippine Peso = 1.59228 Bangladesh Taka
1 Philippine Peso = 0.03034 Bulgarian Lev
1 Philippine Peso = 0.00724 Bahraini Dinar
1 Philippine Peso = 33.62742 Burundi Franc
1 Philippine Peso = 0.0192 Bermuda Dollar
1 Philippine Peso = 0.02503 Brunei Dollar
1 Philippine Peso = 0.13175 Bolivian Boliviano
1 Philippine Peso = 0.06526 Brazilian Real
1 Philippine Peso = 0.0192 Bahamian Dollar
1 Philippine Peso = 1.26032 Bhutan Ngultrum
1 Philippine Peso = 0.18403 Botswana Pula
1 Philippine Peso = 384.48243 Belarus Ruble
1 Philippine Peso = 0.03837 Belize Dollar
1 Philippine Peso = 0.02421 Canadian Dollar
1 Philippine Peso = 0.01858 Swiss Franc
1 Philippine Peso = 11.41406 Chilean Peso
1 Philippine Peso = 0.12052 Chinese Yuan
1 Philippine Peso = 52.12791 Colombian Peso
1 Philippine Peso = 10.7778 Costa Rica Colon
1 Philippine Peso = 0.0192 Cuban Peso
1 Philippine Peso = 1.71039 Cape Verde Escudo
1 Philippine Peso = 0.39282 Czech Koruna
1 Philippine Peso = 3.39601 Djibouti Franc
1 Philippine Peso = 0.11551 Danish Krone
1 Philippine Peso = 0.94891 Dominican Peso
1 Philippine Peso = 2.1798 Algerian Dinar
1 Philippine Peso = 0.24262 Estonian Kroon
1 Philippine Peso = 0.33916 Egyptian Pound
1 Philippine Peso = 0.52276 Ethiopian Birr
1 Philippine Peso = 0.01551 Euro
1 Philippine Peso = 0.03865 Fiji Dollar
1 Philippine Peso = 0.01348 Falkland Islands Pound
1 Philippine Peso = 0.01349 British Pound
1 Philippine Peso = 0.08525 Ghanaian Cedi
1 Philippine Peso = 0.89975 Gambian Dalasi
1 Philippine Peso = 172.80584 Guinea Franc
1 Philippine Peso = 0.14089 Guatemala Quetzal
1 Philippine Peso = 3.95007 Guyana Dollar
1 Philippine Peso = 0.15072 Hong Kong Dollar
1 Philippine Peso = 0.45249 Honduras Lempira
1 Philippine Peso = 0.11491 Croatian Kuna
1 Philippine Peso = 1.24505 Haiti Gourde
1 Philippine Peso = 4.8093 Hungarian Forint
1 Philippine Peso = 264.60534 Indonesian Rupiah
1 Philippine Peso = 0.06739 Israeli Shekel
1 Philippine Peso = 1.26727 Indian Rupee
1 Philippine Peso = 22.73862 Iraqi Dinar
1 Philippine Peso = 806.60649 Iran Rial
1 Philippine Peso = 1.91031 Iceland Krona
1 Philippine Peso = 2.37565 Jamaican Dollar
1 Philippine Peso = 0.01361 Jordanian Dinar
1 Philippine Peso = 2.06171 Japanese Yen
1 Philippine Peso = 1.92145 Kenyan Shilling
1 Philippine Peso = 1.32194 Kyrgyzstan Som
1 Philippine Peso = 76.97331 Cambodia Riel
1 Philippine Peso = 7.61206 Comoros Franc
1 Philippine Peso = 17.28442 North Korean Won
1 Philippine Peso = 20.40042 Korean Won
1 Philippine Peso = 0.00575 Kuwaiti Dinar
1 Philippine Peso = 0.01575 Cayman Islands Dollar
1 Philippine Peso = 6.25043 Kazakhstan Tenge
1 Philippine Peso = 158.93989 Lao Kip
1 Philippine Peso = 28.9034 Lebanese Pound
1 Philippine Peso = 2.99693 Sri Lanka Rupee
1 Philippine Peso = 2.50451 Liberian Dollar
1 Philippine Peso = 0.22892 Lesotho Loti
1 Philippine Peso = 0.05855 Lithuanian Lita
1 Philippine Peso = 0.01192 Latvian Lat
1 Philippine Peso = 0.02543 Libyan Dinar
1 Philippine Peso = 0.17577 Moroccan Dirham
1 Philippine Peso = 0.31452 Moldovan Leu
1 Philippine Peso = 0.94968 Macedonian Denar
1 Philippine Peso = 25.52333 Myanmar Kyat
1 Philippine Peso = 45.86134 Mongolian Tugrik
1 Philippine Peso = 0.15521 Macau Pataca
1 Philippine Peso = 6.76013 Mauritania Ougulya
1 Philippine Peso = 0.64144 Mauritius Rupee
1 Philippine Peso = 0.29902 Maldives Rufiyaa
1 Philippine Peso = 13.70175 Malawi Kwacha
1 Philippine Peso = 0.35007 Mexican Peso
1 Philippine Peso = 0.07459 Malaysian Ringgit
1 Philippine Peso = 0.22915 Namibian Dollar
1 Philippine Peso = 6.87536 Nigerian Naira
1 Philippine Peso = 0.59554 Nicaragua Cordoba
1 Philippine Peso = 0.14884 Norwegian Krone
1 Philippine Peso = 2.01652 Nepalese Rupee
1 Philippine Peso = 0.02629 New Zealand Dollar
1 Philippine Peso = 0.00739 Omani Rial
1 Philippine Peso = 0.0192 Panama Balboa
1 Philippine Peso = 0.06176 Peruvian Nuevo Sol
1 Philippine Peso = 0.06241 Papua New Guinea Kina
1 Philippine Peso = 1 Philippine Peso
1 Philippine Peso = 2.21836 Pakistani Rupee
1 Philippine Peso = 0.06459 Polish Zloty
1 Philippine Peso = 106.04187 Paraguayan Guarani
1 Philippine Peso = 0.0699 Qatar Rial
1 Philippine Peso = 0.07223 Romanian New Leu
1 Philippine Peso = 1.16816 Russian Rouble
1 Philippine Peso = 16.22066 Rwanda Franc
1 Philippine Peso = 0.07202 Saudi Arabian Riyal
1 Philippine Peso = 0.14768 Solomon Islands Dollar
1 Philippine Peso = 0.25792 Seychelles Rupee
1 Philippine Peso = 0.34667 Sudanese Pound
1 Philippine Peso = 0.161 Swedish Krona
1 Philippine Peso = 0.02513 Singapore Dollar
1 Philippine Peso = 0.01349 St Helena Pound
1 Philippine Peso = 0.42646 Slovak Koruna
1 Philippine Peso = 146.53351 Sierra Leone Leone
1 Philippine Peso = 10.79316 Somali Shilling
1 Philippine Peso = 380.06338 Sao Tome Dobra
1 Philippine Peso = 0.16804 El Salvador Colon
1 Philippine Peso = 9.89015 Syrian Pound
1 Philippine Peso = 0.22917 Swaziland Lilageni
1 Philippine Peso = 0.599 Thai Baht
1 Philippine Peso = 0.04602 Tunisian Dinar
1 Philippine Peso = 0.04292 Tongan paʻanga
1 Philippine Peso = 0.07736 Turkish Lira
1 Philippine Peso = 0.12961 Trinidad Tobago Dollar
1 Philippine Peso = 0.56365 Taiwan Dollar
1 Philippine Peso = 43.7488 Tanzanian Shilling
1 Philippine Peso = 0.50259 Ukraine Hryvnia
1 Philippine Peso = 70.84694 Ugandan Shilling
1 Philippine Peso = 0.0192 United States Dollar
1 Philippine Peso = 0.54158 Uruguayan New Peso
1 Philippine Peso = 154.65719 Uzbekistan Sum
1 Philippine Peso = 1139.831 Venezuelan Bolivar
1 Philippine Peso = 437.43038 Vietnam Dong
1 Philippine Peso = 2.00538 Vanuatu Vatu
1 Philippine Peso = 0.04922 Samoa Tala
1 Philippine Peso = 10.16881 CFA Franc (BEAC)
1 Philippine Peso = 0.05185 East Caribbean Dollar
1 Philippine Peso = 10.16881 CFA Franc (BCEAO)
1 Philippine Peso = 1.83983 Pacific Franc
1 Philippine Peso = 4.79931 Yemen Riyal
1 Philippine Peso = 0.2292 South African Rand
1 Philippine Peso = 99.66391 Zambian Kwacha
1 Philippine Peso = 6.95026 Zimbabwe dollar

Dogs, cats and wave theory

In the wake of February’s downturns on Wall Street and the New York Stock Exchange (NYSE) that spawned serial crashes of capital markets all over the world, deservedly smug Elliot Wave theorists started keying in on their tablets their versions of “I-told-you-so’s”, their doomsday predictions apparently vindicated and validated by what appears as the start of a great cyclical depression not since experienced since almost a decade ago.

The last time we looked the Dow Jones Industrial Average was still down. So was Standard and Poor’s (S&P) 500 though the latter not quite as low. Smaller stocks at NASDAQ recovered and so did Japan’s Nikkei 225 somewhat and Europe’s Stoxx Europe 600. But the United Kingdom’s FTSE 100 was still on a downward trend.

To explain wave theory, or the world according to Elliot -- a credible sub-sector of analytical hypotheses employed by a select group of economic forecasters who study and divine historic cycles rather than linear events to predict the future -- allow us a bit of light-hearted humor before we jump into gobbledygook terminology and technicalities.

We received the following in one of our social media inboxes shared among a group of Ateneans, stock analysts and investment bankers. Viber posts, like Tweets, WhatsApp and Facebook entries are raw, unadulterated, sometimes anonymous. This one however mirrors some if not all of the critical movements in the economic environment surrounding the capital markets. 

We decided to take this one seriously. 

Besides, it’s funny. It provides a light skinny on the superiority of economic wave theories over the longer haul and over most linear models used by government economists. Moreover, far more relevant, it explains the complexity of the recent capital market crisis.

The post stated a distinctly linear depiction of capital market activity that results from immediately proximate predicates: 

“The volatile stock market affects human beings and their best friends. Last month, the market was good and my dog ate what I ate. Last week, the market a bad, so I ate what my dog ate. Yesterday, the market crashed, so I ate my dog.”

“After three days, I ate my neighbor’s dog after he ate my cat.”

“The lesson of the story - Hunger triggers wars.”

Technically when we think of forecasting techniques the foregoing exemplifies the kind of methodology employed by most economists. The methodology of choice is linear. It’s easy. It simply picks up from points recently left off. It then factors in present variables that might change the course, if there are any. In the foregoing, one unexpected variable was the cat we previously did not know existed.

In linear mathematics there are only two axes, the X and the Y. When a line is drawn those are in relation to X and Y. When a slope is drawn those are coordinates lying along the hypotenuse whose value is determined by the Pythagorean Theorem. As confusing as this is starting to sound, it is still very basic and still very simple. Even Pythagoras referred only to X and Y.

When a variable comes out of nowhere and starts shifting what should have been a straight line such as the unexpected appearance of the cat that was not in the original picture then the influence tends to create a slope. One might imagine the slope to complicate matters. It doesn’t. A slope is merely the sum of different hypotenuse, all computed by the Pythagorean Theorem successively. It’s still linear and two- dimensional.

Even where it slopes and curves, a line is subject only to runs and rises. It is not the same should a circle be plotted. More variables enter the picture such as the infinite coordinates along the circumference of a circle, the diameter and radius, not to speak of Pi. Following the obvious linear thinking paradigm where causality is based on previous events, most economic forecasters simply draw a line and extend that into the near and foreseeable future.

Economists who base their forecasts on circles and cycles however are allowed far longer views into both the future and the past. For businessmen and for those whose horizons extend farther than the next year these allow for greater relevance. Here’s why

The logic of cycles, while employing a great deal more variables than do simplistic linear models assumes that certain events repeat. A circle comes around and cycles come full circle. While cyclical forecasters admit that an event cannot repeat at exactly the same point they introduce the concept of progression. Thus there are expansions of the circle. What mathematicians might describe as expanding cycles.

While the basic Pythagorean Theorem rules slopes, rises and runs for linear forecasting, where economic cycles are concerned, we turn to the Fibonacci sequence.

The Fibonacci formula determines the next value in a cyclical sequence and is a phenomenon  that is constant in nature such as natural cycles found in flora and fauna. The sequence is seen in plants such as the branching of trees or the spirals of sunflowers. You also see the very same pattern in galaxies and nebulae. In the animal world, the very same equation is found in shellfish, mollusks as well as in the appendages of living creatures.

The sequence is so constant that it can be relied upon as a rule.

By applying the Fibonacci sequence to economic events, wave forecasters are able to extend their perspective much farther than linear economists. And because the sequence has an expansion factor through the Fibonacci Formula, not only can wave forecasters predict events with a great deal of accuracy but they can likewise determine its severity and impact thus establishing wave theory as more relevant for a businessman’s longer term perspective.
Rating: 
No votes yet

Column of the Day

Globe’s nuisance messages

By DAHLI ASPILLERA | April 20,2018
‘Ayala, do something to stop these off-hour sales texts to my mobile!’

Opinion of the Day

Dinapigue on my mind

By JOSE BAYANI BAYLON | April 20, 2018
‘When that happens Dinapigue will be distant no more. Because when opportunities beckon, distance no longer becomes a hindrance.’