NZD spiked to 0.7090 USD after GDT prices rose 1.7%, as opposed to a 3-5% expected fall, currently at 0.7050 USD and 0.9145 AUD; USD lower as post-election Trump rally unwinds, USD TWI down 0.5%; GBP up on stronger inflation data

By Jason Wong

The USD and equities are under pressure as the post-election Trump rally unwinds, while US Treasury yields continue to nudge lower.

Market attention has turned to the health bill to repeal Obamacare that faces the US Congress this week and Trump doesn’t have the numbers to pass the bill at this stage.  For Trump, it is important that the health bill passes, as savings from lower health expenditure are to be used to help control the deficit and allow his tax reform policies to proceed.  The market is losing patience as the chance of tax reform and fiscal stimulus seemingly recede by the day.   This threat is seeing the post-election rally unwind, with the USD major currency TWI down 0.5% for the day.

There are other factors in play contributing to a weaker USD.  GBP/USD is up 1% to almost 1.25, as CPI inflation data were much stronger than expected, testing the BoE’s tolerance for higher inflation. Market pricing for a rate hike was brought forward a touch, but OIS pricing still suggests it’s a distant prospect, more like mid-to-late next year.  Some of the rally in GBP likely reflects it being oversold on the “news” yesterday that Brexit would be triggered on 29 March.

EUR/USD is up 0.7% to 1.0810 and flirting with its 2017 high, supported by polls showing centrist Macron as the winner of the first French presidential debate on Monday.  There is also some residual buying as investors ponder the ECB eventually withdrawing policy stimulus, helping to lift German bund yields at a time when US Treasury yields are heading south.  The US-Germany 10-year spread fell to a 4-month low of sub 200bps, which supports EUR.

The risk off mood, with the S&P 500 down 0.9% and the VIX index up 10% to 12.5, sees the NZD and AUD languishing near the bottom of the leaderboard alongside the USD.  NZD is trading around 0.7050, a touch above the local close yesterday but it spiked as high as 0.7090 this morning following the surprisingly positive result from the latest GDT dairy auction.  The GDT price index rose by 1.7% against expectations for a circa 3-5% fall.  Whole milk powder rose by 2.9%.  This suggests some consolidation in pricing, after the significant fall over the last month or so.  The next focus for the market is the RBNZ statement tomorrow.   Compared to the February Statement, the Bank will have to delete reference to the “continued upward pressure” on the NZD after its significant fall over recent weeks but the RBNZ is still likely to consider the NZD “higher than is sustainable”, something we’ve disagreed with for some time.

NZD/AUD is around 0.9145, helped by the positive GDT auction, while the stronger GBP and EUR sees NZD/GBP down to 0.5650 and NZD/EUR down to 0.6525.

NZD/JPY is trading this morning sub-79, given the risk-off mood and lower Treasury yields. 


 

Get our daily currency email by signing up here:

Email:  

Daily exchange rates

<!–

var root_url = "http://www.interest.co.nz/charts-csv/";
var tabs_count="7";
var csvfiles_loc= ["/charts-csv/chart_data/exchangerates/daily-usd.csv"," /charts-csv/chart_data/exchangerates/daily-aud.csv"," /charts-csv/chart_data/exchangerates/daily-twi.csv"," /charts-csv/chart_data/exchangerates/daily-yen.csv"," /charts-csv/chart_data/exchangerates/daily-yuan.csv"," /charts-csv/chart_data/exchangerates/daily-eur.csv"," /charts-csv/chart_data/exchangerates/daily-gbp.csv"];
var chart_title_arr= ["US dollar","Australian dollar","Trade weighted index","Japanese Yen","Chinese Yuan","Euro","British pound"];
var chart_subtitles_arr= ["Daily benchmark rate","Daily benchmark rate","Daily benchmark rate","Daily benchmark rate","Daily benchmark rate","Daily benchmark rate","Daily benchmark rate"];
var tab_titles_arr= ["US$","AU$","TWI","u00a5en","u00a5uan","u20acuro","GBP"];
var source_arr= ["RBNZ","RBNZ","RBNZ","RBNZ","RBNZ","RBNZ","RBNZ"];
var source_hyperlink_arr= ["8"];
var tabswidth="8";
var decimal_arr= ["4","4","4","2","2","4","4"];

// variable declaration
var xpad;
var padding_value=0;
var range_selector=0
var loc;
var updt;
var val_num;
var vi=0;
var max_val;
var x;

var finalAr = new Array();
for (var i = 0; i <= tabs_count; i++) {
finalAr[i] = new Array();
}
var flagAr = new Array();
for (var i = 0; i <= tabs_count; i++) {
flagAr[i] =[];
}
var yaxisAr = new Array();
for (var i = 0; i 536)
{
var b = arr.length – 536; // to get last 36 points
}
else if (arr.length < 536)
{
var b = 537 – arr.length;
}
else if(arr.length == 536)
{
var b=2;
}

// to generate the format for date representation in x axis

var timestamweek = 604800000;
var timestamday = 86400000;
var timestammonth30 = 2592000000;
var timestammonth31 = 2678400000;
var timestamyear = 31536000000;
var timestamquarterly = 7776000000;

for (var u=0;u<2;u++) {
arr[u] = parseLineCSV(arr[u]);
fomat= String(arr[u][0]);
var k=0;

do {
k++;
} while(fomat.charAt(k)!="-")
var k1 =k;

do {
k++;
} while(fomat.charAt(k)!="-")
var k2=k;

do {
k++;
} while(k<fomat.length)
var k3=k;

var dd= fomat.substring(0,k1);
var mm = fomat.substring(k1+1,k2);
var yy = "20"+fomat.substring(k2+1,k3+1);
var yy1=fomat.substring(k2+1,k3+1);

// conversion of months into numerical form

//+++++++++++++++++++++++++++++++++++
if (mm == "Jan")
{
mm= "01";
}
else if (mm == "Feb")
{
mm= "02";
}

else if (mm == "Mar")
{
mm= "03";
}

else if (mm == "Apr")
{
mm= "04";
}

else if (mm == "May")
{
mm= "05";
}

else if (mm == "Jun")
{
mm= "06";
}

else if (mm == "Jul")
{
mm= "07";
}

else if (mm == " Aug")
{
mm= "08";
}

else if (mm == "Sep")
{
mm= "09";
}

else if (mm == "Oct")
{
mm= "10";
}

else if (mm == "Nov")
{
mm= "11";
}

else if (mm == "Dec")
{
mm= "12";
}

// +++++++++++++++++++++++++++++++++++++++++++++++++++++++

var date2 = mm+"/"+dd+"/"+yy;

if (u==0)
{
var timestam1 = Date.parse(date2);
}
else if(u==1)
{
var timestam2 = Date.parse(date2);
}
}
var timestamvar = (timestam2- timestam1);
var flagAR_count=0;
for (var i=2;i<arr.length;i++) {
flagAR_count++;
var tempAr = new Array();
var tempAr1 = new Array();
arr[i] = parseLineCSV(arr[i]);
if (arr[i]!='')
{

fomat= String(arr[i][0]);
replic=String(arr[i][0]);
var k=0;

do {
k++;
} while(fomat.charAt(k)!="-")
var k1 =k;

do {
k++;
} while(fomat.charAt(k)!="-")
var k2=k;

do {
k++;
} while(k<fomat.length)
var k3=k;

var dd= fomat.substring(0,k1);
var mm = fomat.substring(k1+1,k2);
var current_year=""+new Date().getFullYear();
var c_year=Number(current_year.substring(2,4));
var c_data=Number(''+fomat.substring(k2+1,k3+1));
if(c_data c_year)
{
var yy = “19”+fomat.substring(k2+1,k3+1);
}
else if(c_data == c_year)
{
var yy = “20”+fomat.substring(k2+1,k3+1);
}
// conversion of months into numerical form

//+++++++++++++++++++++++++++++++++++
if (mm == “Jan”)
{
mm= “01”;
}
else if (mm == “Feb”)
{
mm= “02”;
}

else if (mm == “Mar”)
{
mm= “03”;
}

else if (mm == “Apr”)
{
mm= “04”;
}

else if (mm == “May”)
{
mm= “05”;
}

else if (mm == “Jun”)
{
mm= “06”;
}

else if (mm == “Jul”)
{
mm= “07”;
}

else if (mm == “Aug”)
{
mm= “08”;
}

else if (mm == “Sep”)
{
mm= “09”;
}

else if (mm == “Oct”)
{
mm= “10”;
}

else if (mm == “Nov”)
{
mm= “11”;
}

else if (mm == “Dec”)
{
mm= “12”;
}
// +++++++++++++++++++++++++++++++++++++++++++++++++++++++

var date = mm+”/”+dd+”/”+yy;

var timestam_1 = Date.parse(date);
var timestam= timestam_1+86400000; //86400000 added to get correct timezone output from Date.parse
var time4 = new Date(timestam);
var Weeko = time4.getDay();
var dd2 = time4.getDate();
var mm2 = time4.getMonth();
var flag_y=arr[i][1];
var ahref_title=”Click here for full story”;
if(arr[i][2]) {
var url=arr[i][2];
var flag_date='{“x”:’+timestam+’, “title”:”  “,”text”:”Click here for Story!”}’;

flagAr[csvgen_counter].push(flag_date);
}
var yy2 = time4.getFullYear();
var yy3 = yy2+””;
var yy4= yy3.substring(2,4);
//++++++++++++++++++++++++this for days conversion++++++++++++++++++++++++++++
if (Weeko==1)
{
Weeko = “Mon”;
}

else if (Weeko==2)
{
Weeko = “Tue”;
}

else if (Weeko==3)
{
Weeko = “Wed”;
}

else if (Weeko==4)
{
Weeko = “Thu”;
}

else if (Weeko==5)
{
Weeko = “Fri”;
}

else if (Weeko==6)
{
Weeko = “Sat”;
}

else if (Weeko==0)
{
Weeko = “Sun”;
}

//+++++++++++++++++++++++this is for month conversion+++++

if (mm2==0)
{
mm2 = “Jan”;
}

else if (mm2==1)
{
mm2 = “Feb”;
}

else if (mm2==2)
{
mm2 = “Mar”;
}

else if (mm2==3)
{
mm2 = “Apr”;
}

else if (mm2==4)
{
mm2 = “May”;
}

else if (mm2==5)
{
mm2 = “Jun”;
}

else if (mm2==6)
{
mm2 = “Jul”;
}

else if (mm2==7)
{
mm2 = “Aug”;
}

else if (mm2==8)
{
mm2 = “Sep”;
}

else if (mm2==9)
{
mm2 = “Oct”;
}

else if (mm2==10)
{
mm2 = “Nov”;
}

else if (mm2==11)
{
mm2 = “Dec”;
}
//++++++++++++++++++++++++++++++++++++++++

//weekly
if ( timestamvar == timestamweek)
{
fomat2=dd2+”-“+mm2+”-“+yy4;
padding_value=timestamweek;
range_selector=2;
}

// Daily
else if ( timestamvar = timestamyear)
{
fomat2=mm2+”-“+yy4;
padding_value=timestamyear;
range_selector=3;
}

//monthly
else if ((timestamvar <= timestammonth30)&&(timestamvar = timestamquarterly)
{
fomat2=mm2+”-“+yy4;
padding_value=timestamquarterly;
range_selector=3;
}

else
{
fomat2=dd2+”-“+mm2+”-“+yy4;
padding_value=timestamday;
range_selector=3;
}

arr[i][0]= fomat2;
var decpad;
decpad = parseFloat(arr[i][1]);
arr[i][1] = decpad;

if(i==(arr.length-1))
{

// Functionality to get the last value

var xvalu=dd2+”-“+mm2+”-“+yy4;
var yvalu= String(arr[i][1]);
var xyvalu=”Latest value at “+xvalu+” is “+yvalu;
updt=”Updated on “+xvalu;
}

tempAr.push(timestam);
if(!arr[i][1])
{
arr[i][1]=null;
}
yaxisAr[csvgen_counter].push(arr[i][1]);
// tempAr1.push(timestam);
// tempAr2.push(tempAr1);
tempAr.push(arr[i][1]);
last_val=timestam;
finalAr[csvgen_counter].push(tempAr);
}
xpad=last_val+padding_value; //*****************to end up graph early//////
if(arr[i]== “”)
{
vi=arr.length-i;
arr.length=arr.length-vi;
i=arr.length-1;
fomat = replic;

var k=0;

do {
k++;
} while(fomat.charAt(k)!=”-“)
var k1 =k;

do {
k++;
} while(fomat.charAt(k)!=”-“)
var k2=k;

do {
k++;
} while(k<fomat.length)
var k3=k;

var dd= fomat.substring(0,k1);
var mm = fomat.substring(k1+1,k2);
var yy = "20"+fomat.substring(k2+1,k3+1);

// conversion of months into numerical form

//+++++++++++++++++++++++++++++++++++
if (mm == "Jan")
{
mm= "01";
}
else if (mm == "Feb")
{
mm= "02";
}

else if (mm == "Mar")
{
mm= "03";
}

else if (mm == "Apr")
{
mm= "04";
}

else if (mm == "May")
{
mm= "05";
}

else if (mm == "Jun")
{
mm= "06";
}

else if (mm == "Jul")
{
mm= "07";
}

else if (mm == "Aug")
{
mm= "08";
}

else if (mm == "Sep")
{
mm= "09";
}

else if (mm == "Oct")
{
mm= "10";
}

else if (mm == "Nov")
{
mm= "11";
}

else if (mm == "Dec")
{
mm= "12";
}
// +++++++++++++++++++++++++++++++++++++++++++++++++++++++

var date = mm+"/"+dd+"/"+yy;
//here flagAr may be
var timestam = Date.parse(date);
var time4 = new Date(timestam);
var Weeko = time4.getDay();
var dd2 = time4.getDate();
var mm2 = time4.getMonth();

var yy2 = time4.getFullYear();
var yy3 = yy2+"";
var yy4= yy3.substring(2,4);
//++++++++++++++++++++++++this for days conversion++++++++++++++++++++++++++++
if (Weeko==1)
{
Weeko = "Mon";
}

else if (Weeko==2)
{
Weeko = "Tue";
}

else if (Weeko==3)
{
Weeko = "Wed";
}

else if (Weeko==4)
{
Weeko = "Thu";
}

else if (Weeko==5)
{
Weeko = "Fri";
}

else if (Weeko==6)
{
Weeko = "Sat";
}

else if (Weeko==0)
{
Weeko = "Sun";
}

//+++++++++++++++++++++++this is for month conversion+++++

if (mm2==0)
{
mm2 = "Jan";
}

else if (mm2==1)
{
mm2 = "Feb";
}

else if (mm2==2)
{
mm2 = "Mar";
}

else if (mm2==3)
{
mm2 = "Apr";
}

else if (mm2==4)
{
mm2 = "May";
}

else if (mm2==5)
{
mm2 = "Jun";
}

else if (mm2==6)
{
mm2 = "Jul";
}

else if (mm2==7)
{
mm2 = "Aug";
}

else if (mm2==8)
{
mm2 = "Sep";
}

else if (mm2==9)
{
mm2 = "Oct";
}

else if (mm2==10)
{
mm2 = "Nov";
}

else if (mm2==11)
{
mm2 = "Dec";
}
//++++++++++++++++++++++++++++++++++++++++

//weekly
if ( timestamvar == timestamweek)
{
fomat2=dd2+"-"+mm2+"-"+yy4;
}

// Daily
else if ( timestamvar = timestamyear)
{
fomat2=mm2+”-“+yy4;
}

//monthly
else if ((timestamvar <= timestammonth30)&&(timestamvar = timestamquarterly)
{
fomat2=mm2+”-“+yy4;
}

arr[i][0]= fomat2;
var decpad;

decpad = parseFloat(arr[i][1]);
//arr[i][1] = roundVal(decpad);
arr[i][1] = decpad;
if(i==(arr.length-1))
{

var xvalu=dd2+”-“+mm2+”-“+yy4;
var yvalu= String(arr[i][1]);
var xyvalu=”Latest value at “+xvalu+” is “+yvalu;
updt=”Updated on “+xvalu;
}
}

}
}

//other required functions

//chart configuration starts here

function getXMLHttpRequest(file) {

//var arrSignatures = [“MSXML2.XMLHTTP.5.0”, “MSXML2.XMLHTTP.4.0″,
//”MSXML2.XMLHTTP.3.0”, “MSXML2.XMLHTTP”,
//”Microsoft.XMLHTTP”];

//for (var i=0; i < arrSignatures.length; i++) {

try
{
var xmlhttp = new window.XMLHttpRequest();
xmlhttp.open("POST",file,false);
return xmlhttp;
}
catch(e)
{
error=e.message;
}

//}
throw new Error("MSXML is not installed on your system.");
}

function readCSV(locfile) {
// load a whole csv file, and then split it line by line
var req = new getXMLHttpRequest(locfile);
//req.open("POST",locfile,false);
req.send("");
return req.responseText.split(/n/g);
}

function parseLineCSV(lineCSV) {
// parse csv line by line into array
var CSV = new Array();

lineCSV = lineCSV.replace(/,/g," ,");

lineCSV = lineCSV.split(/,/g);

// This is continuing of 'split' issue in IE
// remove all trailing space in each field
for (var i=0;i<lineCSV.length;i++) {
lineCSV[i] = lineCSV[i].replace(/s*$/g,"");
}

lineCSV[lineCSV.length-1]=lineCSV[lineCSV.length-1].replace(/^s*|s*$/g,"");
var fstart = -1;

for (var i=0;i=0) {
for (var j=fstart+1;j<=i;j++) {
lineCSV[fstart]=lineCSV[fstart]+","+lineCSV[j];
lineCSV[j]="-DELETED-";

}
fstart=-1;
}
}
fstart = (lineCSV[i].match(/^"/)) ? i : fstart;
}

var j=0;

for (var i=0;i<lineCSV.length;i++) {
if (lineCSV[i]!="-DELETED-") {
CSV[j] = lineCSV[i];
j++;
}

}

return CSV;
}

function roundVal(val_num){
var dec = 2;
var result = Math.round(val_num*Math.pow(10,dec))/Math.pow(10,dec);
return result;
}

function setdecimalpoints(deca)
{
var deca1= deca;
var deca2= parseInt(deca);
if((deca1-deca2)!=0)
{
return 2;
}
else
{
return 0;
}
}
for(i=0;i

Charts loading…
Charts loading…
Charts loading…
Charts loading…
Charts loading…
Charts loading…
Charts loading…

BNZ Markets research is available here.