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Showing posts from August, 2025

The Cuisine of North East Thailand [Isaan, Korat Plateau]

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Raw Crab and Green Papaya Salad Larb (Spicy Minced Pork with Onion and Dried Red Chili) Om Moo-very spicy prk soup with long bean, mini eggplant and mushrooms Glutinous Hill Rice  The food of the region is distinct from the usual Thai food that we are familiar with such as Tom Yum Kung and Pad Thai. It is much spicier. Few Thai restaurants in Singapore serve authentic NE food. Na Na at Aperia Mall Lavender St) does. Photos below from left clockwise (1) Raw Crab and Papaya Salad. (2) Lab: Spicy Minced Pork with Herbs and Dried Red Chili (3) Spicy Pork Fillet, Mushroom, Long Bean and Mini Egg Plant Soup (4) Glutinous Rice. Thailand can be divided into 4 main regions. The central plains where Bangkok lies. The North where Chiang Mai and Chiang Rai are, The South which borders Malaysia and parts of Myanmar. And the North-East ( known as Isaan or the Korat Plateau) with its arid climate.The region is the poorest part of Thailand which results in many male members of the population seeki...

South Indian Vegetarian Thali and Sweets

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In South Indian vegetarian cuisine, a Thali is a platter/set meal of many  dishes served in small containers. Here you see a SuperThali of 17 dishes that I ate with my rice. In addition to my portion of rice served on a Banana leaf, the SuperThali meal also served  a Papadum ( Lentil Cracker) and a Paratha ( whole Wheat flatbread. The contents of all the small containers include: Beetroot , Chickpea curry, Lentils, Tomato Soup, Tamarind juice, Egg Plant, Yoghurt, Sambar of dried Red Chili, Potato,Green Pea, Wheat Flour  dumplings.  The SuperThali meal was accompanied by a Mango Lassi drink, and ended with a serving of  serveral colourful Indian sweets that you can see below:  

Announcement: New Payroll Inputs for Stagflation Risk Dashboard from 1 Sep 2025

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Announcement: New Payroll Inputs for Stagflation Risk Dashboard from 1 Sep 2025 Let’s refresh our memory on the   current inputs of our stagflation risk model before we talk about the new Payroll input. 2s10s Yield Curve Spread What it is: The 2s & 10s yield spread refers to the difference in yields between the 2-year and 10-year U.S. Treasury bonds. It is calculated by subtracting the yield of the 2-year bond from the yield of the 10-year bond. Why it matters:  A yield curve inverts when long-term interest rates drop below short-term rates, indicating that investors are moving money away from short-term bonds and into long-term ones. This suggests that the market as a whole is becoming more pessimistic about the economic prospects for the near future. Breakeven Inflation and 5y5y Forward with CPI What it is: A simple approximation of expected inflation 5–10 years ahead using 2 × (10Y breakeven) − (5Y breakeven). Why it matters: A measure of long-run inf...

US Stagflation Risk Dashboard as of 25 Aug 2025

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  Takeaway: Probability mix updated weekly using breakevens, real yields, the curve and HY OAS. Week over week: 10Y breakeven +3.0 bps, 10Y real yield -2.0 bps, 2s10s curve change -3.0 bps, HY OAS +7.0 bps. EXECUTIVE SUMMARY What changed since last week. Minor changes since last week, so charts will look about the same • Inflation compensation: 10Y breakeven +3.0 bps to 2.41 (%), 5Y +6.0 bps to 2.48. • Real rates: 10Y TIPS -2.0 bps to 1.94 (%), 5Y TIPS -2.0 bps to 1.42 (%). • Curve: 2s10s changed -3.0 bps to 0.54 (% points). • Credit risk: HY OAS +7.0 bps to 2.95 (%). • CPI: No new monthly print since the prior report; CPI panel unchanged week over week by design. Implications • 5y5y Forward slightly higher breakevens with softer real yields tilt mildly inflation-first versus last week, but magnitudes are small. • 2s10s Yield Curve move is modest; watch for re-steepening led by long-end selloff paired with firm breakevens as a stagflation signal. • HY spread widen...

USD/JPY Support/Resistance with Wavelets and Monte Carlo Simulation

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USD/JPY data as of 20 Aug 25 from FRED. USD/JPY is one of the most interesting currency pairs to trade these days, with some opportunities  for short term gains. If we review the MAGA Man's Trade War and Tariff antics, we can see that of all the countries this school yard bully has bullied/cajoled/ran away from, Japan is most at his mercy. (In 2nd place is Europe). China doesn't give a hoot about Trump, India will keep buying Russian oil, the BRICS countries are making good progress in de-Dollarization, Russia will keep pummeling Ukraine. Japan, being the most dependent on the US market for its exports (steel, autos, semiconductors) has a high probability of tipping into a recession. (at least the South Korean economy is more diversified in its export markets)And with a debt/GDP ratio of 260, and rising inflation, there is not much room for fiscal or monetary stimulus. All this will be reflected in a new secular trend for USD/JPY. In this post we will attempt to determine the r...

USD/JPY: Musings on the Rise and Fall of Economies.

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The chart above shows USD/JPY from 1971 at 6-monthly intervals. It's rather frightening to see that USD/JPY used to be as cheap as 350 Yen to USD1.00. Compared to this the current range of USD/JPY 140 to 150 is fantastic. What has happened to USD/JPY  has also happened to the GBP/SGD and the USD/SGD and now AUD/SGD.  If I remember correctly, in the early 70's GBP/SGD was around 7.00 (today it's 1.73) and USD/SGD was around 3.60. (today it's 1.28). So if you take a long term view and the big picture I would dare to say that exchange rates are a valid and good indicator of the rise and fall of economies. When I  take a look at SGD/AUD, I wonder if the good old days of the Lucky Country  are over. SGD/AUD is now around 1.22 It used to be that SGD/AUD was <1. This brings me to what I quoted from the Bible on this blog in 2008-15 years ago. I was reflecting on the unpredictability of financial markets. The image below is a n-dimensional continuous wavelet transform of ...

PROJECTED RETURN ON INVESTMENT OF A MONEY MARKET FUND HOLDING SINGAPORE GOVERNMENT SHORT TERM SECURITIES.

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  Notes: Data Source: Monetary Authority of Singapore as of 15Aug25 Chart 1 (above) : Probabilistic Scenarios of Expected Annualized Rate of Return on Investment.  P25 is 25% Percentile; Median is 50% Percentile, P75 is 75% Percentile. Chart 2 (above) Comparison with SORA (Singapore Overnight Rate Average) which is a reference for Bank Savings Account rates. Current Savings Accounts rate is about 1.56 % Results Summary • Expected annualized return: about 1.93% (mean of the probability distribution). • On SGD 50,000, the expected 1-year earnings are roughly SGD 963. • Probability by bucket: • 10% chance of 1.5% or lower • 64.2% chance between 1.5% and 2.0% • 34.5% chance between 2.0% and 2.5% • 1.3% chance above 2.5% Introduction: Fund mandate and portfolio The money market fund considered is a Singapore dollar–denominated, capital-preservation vehicle targeting daily liquidity and minimal interest-rate and credit risk. Its portfolio typically holds a rolling...

Why Did So Many European Colonies Gain Independence After World War II?

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  Introduction Why does France still want a presence in its many African ex-colonies e.g. Mali by sending French troops especially Regiments of the Foreigh Legion there? The chart above from www.ourworldindata.org shows that from a peak of approximately 100 colonies less than a century ago, there are now only 17 non-self-governing countries in the world.  And most of these are small and/or remote territories. The 17 non-self-governing territories include Western Sahara, Anguilla, Bermuda, British Virgin Islands, Cayman Island, Falkland Islands, Montserrat, Saint Helena, Turks and Caicos Islands, United States Virgin Islands, Gibraltar, American Samoa, French Polynesia, Guam, New Caledonia, Pitcairn, and Tokelau. No. of colonies by country in 1925: UK: 55, France:26, Belgium 2, Italy 3, Netherlands 2, Portugal 6, Spain 2.  Why did the ex-European empires relinquish their hold over so many countries post-WWII? Fiscal exhaustion: War debts + post-war welfare-state spend...

18 Aug 25 US Stagflation Scenario Risk Dashboard

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 Data as of 15 Aug 2025 Sources: CPI YoY from BLS API (CUSR0000SA0; fallback FRED CPIAUCSL). Breakevens (T5YIE, T10YIE), TIPS (DFII5, DFII10), curve (DGS2, DGS10), and HY OAS (BAMLH0A0HYM2) from FRED. Takeaway: The probability mix reflects the current balance of risks across inflation, growth, and credit. A higher soft-landing share aligns with firm real yields and contained credit spreads; a tilt toward stagflation rises when breakevens and OAS widen while the curve re-inverts. Compare with 11 Aug Probabilties (below) A soft-landing muddle-through scenario now seems probably.  For methodology and explanation of inflation scenarios see: https://ngtiankhean.blogspot.com/2025/08/usa-stagflation-risk-dashboard-11-aug.html  Breakeven Inflation and 5y5y Forward Insight: 5Y breakevens proxy near-term inflation expectations and move with energy and supply shocks. 10Y breakevens anchor longer-run inflation views; stability near 2 percent suggests credibility of the Fed targe...

Long term Dow Jones Industrial Average Support and Resistance Levels using ARIMA, Monte Carlo Simulation and Gaussian Mixture Model

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Data as of 14 August 2025 If you believe that the US economy still has potential (which I do not) and if you also believe that MAGA Man's antics will not destroy it (which I do not) then you may want to sit on the Dow Jones Index (through an ETF) for a long time. If the $37 Trillion debt, the rout in the Bond Market, de-dollarization, and Stagflation does not deter you, see above for the Support (cut loss if price breaks from above) and Resistance price levels (take profit  if price crosses from below) for the DJI.  How the S/R levels were determined It's rather technical but I shall try to explain in simple language.  We first smoothed and fitted the raw 270 data points time series of the DJI Close price with ARIMA (1,1,1,) We then ran the fitted ARIMA data through 5000 trials of Monte Carlo Simulation to see how it behaved. The post-Simulation data was then put though a Gaussian Mixture Model (GMM) with K=3 components. The highest density interval (HDI) at 60% probabili...

Infographics on Singapores Food & Beverage Industry

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 *Statistics are from www.singstat.gov.sg Formation and Cessation of business entities For the whole F & B industry, both number of business entities formed (registered) and numbers ceased (deregistered) are going up over the years. But that's because of a growing population and a growing economy.  I think Singapore's resident population (includes expatriates and migrant workers) doubled from 1990 to the current 6 million or so. So the F&B pie is getting bigger. But at the same time the competition gets more intense. See the Green line which shows that the net increase annually  has not really grown; In recent years (after 2012) the F&B scene has actually grown more volatile with formation and cessation showing cyclic characteristics.    Cost Components by Category Goods and Materials, Wages and Rentals are the main components of total cost. In general all the categories have approximately the same cost structure. But rentals show the greatest variat...

USA Stagflation Risk Dashboard 11 Aug 2025

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  The probabilties above were calculated via heuristic allocation of weights to the Indicaors below and transformed to probabilities [0,1] with a SoftMax function. Introduction The U.S. economy is now in a state of flux and generally directionless due to the uncertainty caused by the current Administration’s on-off trade and political policies. However, many economists are of the opinion that a period of stagflation lies ahead i.e. a period of inflationary conditions coexisting with a period of recessionary conditions.   There are 3 possible scenarios of a Stagflation economic environment. as detailed below. My US Stagflation Risk Dashboard gives the probabilities for each scenario and is updated each week based on the latest data available. The 3 Possible Scenarios of a stagflation economic environment. 1.        Adverse supply shock can cause both at once A negative supply shock (oil/energy spike, geopolitical disruption, widesp...